Writing.io Jobs

Realize your potential by joining the leading performance-driven advertising company!

As a Business Analyst working on our Business Analytics & Business Intelligence team in New York, you will work closely with our Sales and Account Management teams to create data driven solutions, extract and visualize actionable insights from large volumes of data and analyze our clients’ performance to ensure they are hitting/exceeding their KPIs.

To thrive in this role, you’ll need:

• 2+ years of experience as a business analyst, data analyst, business intelligence analyst or related role
• Excellent data analysis and presentation skills with experience in performance analysis, root-cause analysis, etc.
• Strong SQL skills (Vertica, MySQL, Google BigQuery etc.)
• Experience working with Data Visualization tools (Qlik Sense, Tableau, Looker, etc.)
• Exceptional ability to understand data and to transform it into actionable business insights
• Ability to independently research and solve challenging problems
• Experience using Python and/or R in data manipulation and analysis
• Experience leveraging AI in data research, management and/or analysis

Bonus points if you have:

• Experience in ad-tech, digital advertising or media

How you’ll make an impact:

• Transform large data sets into actionable insights across a wide range of topics, including root cause analysis, benchmarking, sales productivity and performance
• Present findings to stakeholders from Account Management to Senior Leadership
• Deliver ad-hoc analysis and data reports to both internal stakeholders and clients using SQL and Python.
• Collaborate cross-functionally with business teams such as Sales Ops, Sales & Account Management, FP&A, R&D, and Product on large projects and analysis.
• Serve as point of contact for the business on a wide variety of subjects, often leveraging internal knowledge sources for research.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), pre-tax commuter benefits, a fully stocked kitchen, and various gym partnerships.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$114,000—$125,000 USD

Realize your potential by joining the leading performance-driven advertising company!

As a Business Analyst working on our Business Analytics & Business Intelligence team in New York, you will work closely with our Sales and Account Management teams to create data driven solutions, extract and visualize actionable insights from large volumes of data and analyze our clients’ performance to ensure they are hitting/exceeding their KPIs.

To thrive in this role, you’ll need:

• 2+ years of experience as a business analyst, data analyst, business intelligence analyst or related role
• Excellent data analysis and presentation skills with experience in performance analysis, root-cause analysis, etc.
• Strong SQL skills (Vertica, MySQL, Google BigQuery etc.)
• Experience working with Data Visualization tools (Qlik Sense, Tableau, Looker, etc.)
• Exceptional ability to understand data and to transform it into actionable business insights
• Ability to independently research and solve challenging problems
• Experience using Python and/or R in data manipulation and analysis
• Experience leveraging AI in data research, management and/or analysis

Bonus points if you have:

• Experience in ad-tech, digital advertising or media

How you’ll make an impact:

• Transform large data sets into actionable insights across a wide range of topics, including root cause analysis, benchmarking, sales productivity and performance
• Present findings to stakeholders from Account Management to Senior Leadership
• Deliver ad-hoc analysis and data reports to both internal stakeholders and clients using SQL and Python.
• Collaborate cross-functionally with business teams such as Sales Ops, Sales & Account Management, FP&A, R&D, and Product on large projects and analysis.
• Serve as point of contact for the business on a wide variety of subjects, often leveraging internal knowledge sources for research.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), pre-tax commuter benefits, a fully stocked kitchen, and various gym partnerships.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$114,000—$125,000 USD

In this role, you’ll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale...

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters...

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters...

Public Health Data Governance AnalystPosition SummaryThe Public Health Data Governance Analyst owns the development and ongoing operation of data governance and data management practices within the Public Health Division.

AI at Zapier At Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here –...

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters...

Headquarters: Remote - US: Select locations

Role Description

At Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent. As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire.

In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience. You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes.

You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights. Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions.

Responsibilities

• Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox.
• Create clarity from ambiguity, bringing structure to complex data and stakeholder narratives to identify the underlying question, establish analytical rigor, and drive actionable conclusions.
• Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance.
• Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions.
• Answer complex business questions through independent investigation and data forensics, leveraging the data warehouse to deliver timely, high-impact insights.
• Uphold high standards for data quality and consistency by validating data, standardizing definitions and calculations, and contributing to shared data toolkits and enablement materials.
• Ability to treat employee experience as a product, applying product management and design thinking to understand needs, prototype solutions, and drive execution through strong project management and data-driven iteration.

Requirements

• BA/BS in an analytical or quantitative field such as Industrial/Organizational Psychology, Mathematics, Statistics, Data Science, Engineering, or a related discipline.
• 3+ years of experience in an HR-focused, stakeholder-facing Data Analytics role, with at least 1 year of experience focusing on Recruiting/Talent Acquisition insights.
• Fluency in SQL and advanced Excel; experience using statistical or analytical tools such as R or Python.
• Strong storytelling skills with data, including the ability to select appropriate analytical approaches and visualization techniques for different audiences and decision contexts.
• Proven ability to analyze large, complex datasets, synthesize insights quickly, and communicate clear, actionable recommendations.
• Demonstrated experience driving analytics projects end to end, from problem framing and analysis through to execution and impact.
• Demonstrated experience leveraging AI tools in the flow of work. Candidates with a pre-existing comfort level & familiarity using AI to enhance productivity are strongly preferred.
• Ability to think creatively and critically and thrive in a fast-paced, multifaceted, and often ambiguous environment.
• Collaborative, humble team player who proactively supports teammates and shared goals.
• Demonstrated ability to conceptualize employee experience as a product, with proven success applying product management principles (roadmapping, user journeys, feature prioritization) to HR initiatives
• Proficiency in leveraging design thinking methodologies to deeply understand employee needs, rapidly prototype experience solutions, and implement data-driven iteration cycles that measurably enhance engagement and retention

Preferred Qualifications

• IO Psychology/assessment background
• Prior roles in People analytics (vs. other analytics)
• Strong exec presence / verbal presentation skills

Durable Skills

AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:

• Awareness: Understand yourself and others.
• Judgment: Evaluate information and make decisions in complex situations.
• Adaptability: Learn, adjust, and stay effective through change.
• Connection: Communicate, collaborate, and build trust.

To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser.

Compensation

US Zone 1

This role is not available in Zone 1

US Zone 2$123,900—$167,700 USDUS Zone 3$110,200—$149,000 USD

To apply: https://weworkremotely.com/remote-jobs/dropbox-data-analytics-partner-people-analytics

Who we are

Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. Our mission is to enable financial happiness for every African, everywhere.

About this role:

We’re looking for a Data Scientist to sit at the heart of how we fight fraud — building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats.

You are a data-driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime. You’ll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem — partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems.

Responsibilities:

• Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles.

• Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction.

• Size fraud typologies across our product lines to inform prioritization and investment decisions.

• Build and maintain anomaly detection systems to surface novel fraud vectors before they scale.

• Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.

Experience & Background:

• A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar).

• 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime.

• Hands-on experience building and deploying machine learning models in a production environment.

• Fraud, risk, or financial services experience is a strong plus.

• Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering.

• Comfort working in fast-paced, cross-functional teams with high ownership expectations.

Skills & Competencies:

• Proficiency in Python and SQL; comfort working across the full model development lifecycle.

• An investigative instinct — you enjoy digging into data to find patterns others miss.

• The ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action.

What Success Looks Like in This Role:

• Production-grade ML models and anomaly detection systems that effectively surface and mitigate novel fraud vectors before they scale.

• Well-designed experiments that successfully balance customer experience against fraud loss reduction.

• Clear sizing of fraud typologies that effectively drives product prioritization and strategic investment decisions.

• Seamless cross-functional alignment where technical model outputs are consistently translated into real-world fraud mitigations.

Why Join Us?

• Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation: You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

We are a hybrid, remote-office company dedicated to growing our talent anywhere!

We have onsite locations in: Sioux Falls, SD,  Scottsdale, AZ,  Louisville, KY,  Troy, MI,  Franklin, TN,  Easton, PA.

At Pathward, we take tremendous pride in our purpose to create financial inclusion for all™. We are a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all.  We strive to remove barriers that traditional institutions put in the way of financial access, and promote economic mobility by providing responsible, secure, high quality financial products.

We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success.  We celebrate, and embrace, our team members through our *HUMBLE*HUNGRY*SMART approach, and we believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve.

About the Role:

Develop reports and analysis on various loan portfolios for processes such as concentration analysis, portfolio performance, etc. Provide support to routine and ad-hoc credit administration deliverables and analytical insights.

What You Will Do:

• Provide support in all aspects of the credit analytics, reporting, data mining, methodologies; ensuring proper support for all reserving requirements (quantitative and qualitative) associated with decisions
• Analyzes and reports on credit memo and write-off activity and monitors and communicates credit concerns to management
• Provide support to ensure documentation is completed for internal and external stakeholders, and that effective change management is in place
• Identify and execute opportunities for process improvement and standardization across business lines for the organization
• Drive standard definitions around key data elements and identify and support projects related to achieving data consistency, availability and quality
• Provide support and assist in driving the identification and implementation of technology solutions to reduce manual processes, enhance controls, improve cycle times, and support consistency where practical
• Collaborate with leadership to enable an efficient data capture, reporting, and forecasting process
• Conduct special studies on targeted portfolio risks; analyze and recommend changes to data improvement, portfolio setting and other key parameter settings such as correlation structure, probability of default/loss given default correlation, loan prepayment, etc.
• Other duties as assigned.

What You Will Need:

• Bachelor’s degree or equivalent education and work experience.
• 3+ years experience.
• Experience in quantitative methods/techniques, statistics, predictive modeling, data science or other analytical disciplines, required.
• Experience with lending software, SSRS, Crystal Reports, Oracle BI, Tableau, Microsoft Access, or similar applications, preferred.
• Credit Risk Management work experience, inclusive of loss forecasting within a regional financial institution is preferred
• Written and verbal communication
• Attention to detail
• Driven and self-directed yet collaborative in approach
• Strong business and technical acumen and ability
• Solid understanding of lending practices and processes

The responsibilities listed above are not all inclusive and may be changed at any time.

Salary range:  $60,000 – $100,500

The salary range reflects the minimum and maximum target for a new hire in this role. Individual pay within the range will be determined by multiple factors which can include but are not limited to a candidate’s experience, qualifications, skills, and location. Your recruiter can share more about the specific salary for your location during the hiring process. Ranges may be modified in the future.

This role is also eligible for an annual performance-based incentive opportunity.  Pathward offers a comprehensive benefits package for eligible employees, including health insurance, 401(k) retirement benefits, life insurance, disability benefits, paid time off, and more.

#LI-Remote

Don’t have everything listed under qualifications? If you’re excited about this role but your experiences don’t match exactly to everything in the posting, we encourage you to apply anyway. You may be just the right candidate for this or other Pathward roles. Pathward is an equal employment opportunity employer and considers candidates for roles without regard to their race, sex, national origin, ethnicity, age, disability or any other category protected by law.

Who we are:

Our commitment to inclusion is woven into our DNA. We believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve.

We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, transgender status, pregnancy, national origin, age (age 40 and over), disability, genetic information, marital status, hair texture or hairstyle, ancestry, service in the uniformed services, protected veteran status, status as a victim of domestic violence or any other class protected by federal, state and local laws.

Please click here to learn more about our benefits and review information about our Privacy Policy, Affirmative Action Plan and other notices. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. For assistance completing an application, please contact a Pathward People & Culture Representative by emailing – careers@pathward.com

Please click here to view Pathward’s Applicant Privacy Notice.

Applications will be accepted for a minimum of 3 days after posting, and there is no predetermined date by which applications should be submitted.

Knowingly submitting false information will result in disqualification for consideration of future positions, termination of employment and forfeiture of other rights.

Candidate Scam Warning

We encourage you to be cautious of hiring scams that impersonate Pathward. Copy and paste the following URL into your browser to learn more: https://www.pathward.com/about-us/people-culture/careers/

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

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Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

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See yourself at Twilio

Join the team as Twilio’s next Business Intelligence Analyst.

About the job

This position is needed to provide actionable insights into strategic operations initiatives through the application of your expertise in quantitative analysis, technical systems, and leadership in analytics.

Twilio’s Customer Experience Ops Customer Intelligence team is looking for a curious and action-oriented analyst with a passion for using data to influence decision making and deliver product insights. The ideal candidate is comfortable navigating complex problems, determining the right data to focus on and is able to derive insights and recommendations based on disparate data. This role interacts with stakeholders at all levels throughout the organization and helps inform product, compliance, and delivery strategy.

Responsibilities

In this role, you’ll:

• Work with technical program managers to inject data into decision making and planning to increase confidence in strategic business outcomes via defining OKRs, designing and building insight generating reports and dashboards, and partnering cross functionally to source and process product data.
• Leverage SQL programming skills and data visualization tools to communicate product insights and recommendations to stakeholders at all levels. Standardize, maintain, and document metrics, models, datasets, and dashboards leveraging tools such as Tableau, Confluence, Acryl, and code.
• Source, identify, and leverage data and insights for time-critical and strategic decision making.
• Partner with leaders to successfully roll out and enable the adoption of dashboards and metrics.
• Work closely with product leadership to monitor and improve product performance while collaborating with business leaders to drive exceptional product offerings. Measure and analyze product value and value proposition through metrics.
• Collaborate with data producers and consumers during the product development lifecycle to ensure consistent data quality and availability for reporting post launch.
• Own and foster stakeholder partnerships by acting as a trusted advisor.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 3-5 years of professional experience performing quantitative analysis, building dashboards and reports, working with business partners to convert ambiguous, messy data into tangible and actionable results that influence product and business impacting decisions in a fast paced industry.
• Ability to think strategically and initiate, refine, and complete projects with minimal guidance in an often ambiguous environment.
• Excellent verbal and written communication skills.
• Proficient level experience writing, developing, and performing data deep dives and writing complex queries in SQL and SQL-like relational data languages
• Minimum 2 years Tableau experience developing and managing dashboards is required.
• Demonstrated ability in building reports, metrics, dashboards, etc. for analytics projects that often require data preparation processes such as data extraction, cleansing, mapping, loading and operationalizing workflows in production.

Desired:

• Familiarity or hands-on experience utilizing Generative AI tools (e.g., Gemini, GitHub Copilot, ChatGPT) to optimize SQL query writing, data analysis workflows, and documentation is a plus.
• Experience in telephony, email, messaging, social media, or other electronic communications is a plus.
• Experience or familiarity with data warehousing and/or ETL processes, and distributed computing technologies (Hive/Presto/Spark/Zeppelin) is a plus.
• Experience in BI reporting tools like Looker is a plus.
• Experience with unstructured data is a plus.

Location

This role will be Remote, and based in Colombia

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

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Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

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Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Headquarters: Brazil
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself.

This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who - and which AI tools - can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure - spaces, permissions, certification, naming - that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics - one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both - extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist - a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins - events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero - an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks - but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy - you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go - one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on senior operator. You write the SQL, debug the Airflow DAG, and configure the permissions yourself - seniority here means judgment and speed, not delegation. This is unlikely to be a good fit if your last few years were spent directing others and you'd need a team to execute.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards - which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A people-management role - yet. You'll work alone for a while. A team may grow under you if the scope demands it, but if you need direct reports on day one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it - with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

Compensation & Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-data-governance-and-platform-manager

Headquarters: Mexico
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself.

This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who - and which AI tools - can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure - spaces, permissions, certification, naming - that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics - one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both - extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist - a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins - events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero - an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks - but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy - you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go - one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on senior operator. You write the SQL, debug the Airflow DAG, and configure the permissions yourself - seniority here means judgment and speed, not delegation. This is unlikely to be a good fit if your last few years were spent directing others and you'd need a team to execute.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards - which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A people-management role - yet. You'll work alone for a while. A team may grow under you if the scope demands it, but if you need direct reports on day one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it - with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

Compensation & Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-data-governance-and-platform-manager-1

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

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Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

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See yourself at Twilio

Join the team as Twilio’s next Business Intelligence Analyst.

About the job

This position is needed to provide actionable insights into strategic operations initiatives through the application of your expertise in quantitative analysis, technical systems, and leadership in analytics.

Twilio’s Customer Experience Ops Customer Intelligence team is looking for a curious and action-oriented analyst with a passion for using data to influence decision making and deliver product insights. The ideal candidate is comfortable navigating complex problems, determining the right data to focus on and is able to derive insights and recommendations based on disparate data. This role interacts with stakeholders at all levels throughout the organization and helps inform product, compliance, and delivery strategy.

Responsibilities

In this role, you’ll:

• Work with technical program managers to inject data into decision making and planning to increase confidence in strategic business outcomes via defining OKRs, designing and building insight generating reports and dashboards, and partnering cross functionally to source and process product data.
• Leverage SQL programming skills and data visualization tools to communicate product insights and recommendations to stakeholders at all levels. Standardize, maintain, and document metrics, models, datasets, and dashboards leveraging tools such as Tableau, Confluence, Acryl, and code.
• Source, identify, and leverage data and insights for time-critical and strategic decision making.
• Partner with leaders to successfully roll out and enable the adoption of dashboards and metrics.
• Work closely with product leadership to monitor and improve product performance while collaborating with business leaders to drive exceptional product offerings. Measure and analyze product value and value proposition through metrics.
• Collaborate with data producers and consumers during the product development lifecycle to ensure consistent data quality and availability for reporting post launch.
• Own and foster stakeholder partnerships by acting as a trusted advisor.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 3-5 years of professional experience performing quantitative analysis, building dashboards and reports, working with business partners to convert ambiguous, messy data into tangible and actionable results that influence product and business impacting decisions in a fast paced industry.
• Ability to think strategically and initiate, refine, and complete projects with minimal guidance in an often ambiguous environment.
• Excellent verbal and written communication skills.
• Proficient level experience writing, developing, and performing data deep dives and writing complex queries in SQL and SQL-like relational data languages
• Minimum 2 years Tableau experience developing and managing dashboards is required.
• Demonstrated ability in building reports, metrics, dashboards, etc. for analytics projects that often require data preparation processes such as data extraction, cleansing, mapping, loading and operationalizing workflows in production.

Desired:

• Familiarity or hands-on experience utilizing Generative AI tools (e.g., Gemini, GitHub Copilot, ChatGPT) to optimize SQL query writing, data analysis workflows, and documentation is a plus.
• Experience in telephony, email, messaging, social media, or other electronic communications is a plus.
• Experience or familiarity with data warehousing and/or ETL processes, and distributed computing technologies (Hive/Presto/Spark/Zeppelin) is a plus.
• Experience in BI reporting tools like Looker is a plus.
• Experience with unstructured data is a plus.

Location

This role will be Remote, and based in Colombia

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

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Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

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Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com

Data Analyst– Contract

We are looking for Data Analyst to join our growing team. A Data Analyst will leverage their business and technical knowledge to organize and manage deliverables in a data warehouse consolidation and business intelligence implementation project, while also working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle.

Key Responsibilities

To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

• Data Analysis and Interpretation:
  • Conduct in-depth analysis using the data warehouse to identify trends, patterns, and insights.
  • Interpret complex data sets and communicate findings to both technical and non-technical stakeholders.
• Data Extraction and Transformation:
  • Assist with ETL processes to extract, transform, and load data from various sources.
  • Collaborate with IT teams to create seamless data integrations.
• Quality Assurance and Testing
  • Perform thorough data validation and testing to ensure the highest possible data quality.
  • Clearly define and communicate when quality standards are not being met.
• Problem Solving
  • Perform root cause analysis to identify the underlying or fundamental causes of an issue or problem.
  • Demonstrate ability to offer suggestions and solutions to remedy issues and promote sustainability.
• Collaboration and Communication:
  • Work closely with cross-functional teams, including IT and business stakeholders, to align on goals and key deliverables.
  • Effectively prioritize tasks to meet established team goals.
• Documentation:
  • Accurately document data mappings and definitions.
  • Outline standard processes and procedures of core activities

Supervisory Responsibilities: None

Qualifications

Education and Experience:

Education and Experience:

• Bachelor’s degree in healthcare or computer science related field preferred, but not necessary.
• 2+ years’ experience with any programming language (SQL, PLSQL, R, Python, etc)
• 2+ years’ experience in data analytics on any data warehouse (Oracle, SQL, Snowflake)
• Healthcare experience a plus
• Agile/SAFe experience a plus

Work Environment:

• Remote work from home.
• Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Physical Demands:

• Must be able to remain in a stationary position 50% of the time.
• The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
• The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer

The Commercial Pricing Analyst supports the development of competitive, profitable, and scalable commercial solutions by providing costing, pricing, financial modeling, and performance analysis.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com.

THE ROLE:

As a Support Services Data and Reporting Analyst, you’ll help teams across Support and Operations use data to make informed decisions, improve performance and automate recurring processes. You’ll work hands-on across data analysis, reporting, platform integrations and automation - gathering requirements, analysing data from multiple sources, building data models, and helping teams establish reliable metrics and structures for internal stakeholders and clients.

This role increasingly works with data held in a cloud data warehouse, using modern data-transformation practices, so SQL is essential.

WHAT YOU’LL DO:

• Analyse data generated by Support and Operations activities, as well as data required by other business teams, to identify trends, answer operational questions and support evidence-based decisions.
• Gather, clarify and document reporting and analytics requirements from stakeholders, including account management, customers, product development and other relevant teams.
• Use SQL to query, validate, combine and investigate data, primarily through the company’s data warehouse.
• Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders.
• Contribute to data modelling and transformation activities.
• Integrate and reconcile information from relevant systems, which may include Microsoft Power BI, Excel, Salesforce, Monday.com and warehouse data.
• Automate recurring reporting and operational tasks to improve accuracy, consistency and efficiency.

WHAT YOU’LL BRING

• Working knowledge of SQL, with the ability to write queries for data extraction, filtering, joins, aggregation and validation.
• Experience in data analysis and analytics, including interpreting business requirements, investigating data and communicating useful findings.
• Experience with Microsoft Power BI, plus Sigma Computing or another business-intelligence/data-visualisation platform.
• Knowledge of relational databases and core data concepts, with confidence working with structured data.
• Experience handling complex Excel workbooks, including advanced formulas.
• Experience integrating, comparing or reconciling data from multiple sources.
• Strong documentation discipline and experience applying clear, consistent analytical standards.

WHAT YOU’LL BRING

• Snowflake, dbt, Python or R.
• Excel macros or automation.

The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group’s benefits plan.

You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com.

THE ROLE:

As a Support Services Data and Reporting Analyst, you’ll help teams across Support and Operations use data to make informed decisions, improve performance and automate recurring processes. You’ll work hands-on across data analysis, reporting, platform integrations and automation - gathering requirements, analysing data from multiple sources, building data models, and helping teams establish reliable metrics and structures for internal stakeholders and clients.

This role increasingly works with data held in a cloud data warehouse, using modern data-transformation practices, so SQL is essential.

WHAT YOU’LL DO:

• Analyse data generated by Support and Operations activities, as well as data required by other business teams, to identify trends, answer operational questions and support evidence-based decisions.
• Gather, clarify and document reporting and analytics requirements from stakeholders, including account management, customers, product development and other relevant teams.
• Use SQL to query, validate, combine and investigate data, primarily through the company’s data warehouse.
• Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders.
• Contribute to data modelling and transformation activities.
• Integrate and reconcile information from relevant systems, which may include Microsoft Power BI, Excel, Salesforce, Monday.com and warehouse data.
• Automate recurring reporting and operational tasks to improve accuracy, consistency and efficiency.

WHAT YOU’LL BRING

• Working knowledge of SQL, with the ability to write queries for data extraction, filtering, joins, aggregation and validation.
• Experience in data analysis and analytics, including interpreting business requirements, investigating data and communicating useful findings.
• Experience with Microsoft Power BI, plus Sigma Computing or another business-intelligence/data-visualisation platform.
• Knowledge of relational databases and core data concepts, with confidence working with structured data.
• Experience handling complex Excel workbooks, including advanced formulas.
• Experience integrating, comparing or reconciling data from multiple sources.
• Strong documentation discipline and experience applying clear, consistent analytical standards.

WHAT YOU’LL BRING

• Snowflake, dbt, Python or R.
• Excel macros or automation.

The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group’s benefits plan.

You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

El Data Scientist existe para habilitar decisiones de producto, negocio y operación mediante el diseño, desarrollo e integración de soluciones analíticas y de machine learning end-to-end.