Data Analyst

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
• Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
• Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

• Sit with internal stakeholders (Medicare sales, finance, operations, HR) to walk them through Omni dashboards, capture feedback, document defects and change requests, and track them to resolution.
• Make report-side changes in Omni: tile edits, formatting, labels, filters, and layout. Escalate anything that touches dbt models or schema to the Interim Head of Analytics.
• Write SQL to spot-check numbers, audit data quality, and answer one-off questions from the business.
• Maintain and update the entity-relationship documentation for the Mart layer as the schema evolves.
• Reconcile reported numbers against source systems (Sabal, Atlantis, Paylocity, Sonar, Retreaver) when discrepancies are flagged.
• Own a clean, organized backlog of business requests and known issues so nothing falls through the cracks.

Junior Data Analyst

• Partner with key talent stakeholders to intake, catalog, prioritize and execute requests and enhancements to new and existing metrics, reports, discovery boards, dashboards and other tools/resources.
• Develop a deep understanding of the Talent and Culture initiatives and priorities to connect the dots across deliverables and provide deep analytics and insights.
• Proactively manage and deliver projects against key deliverables with a strong rhythm of communication and updates to stakeholders.
• Dive deep into complex enterprise-wide business problems and provide insights into the employee experience.
• Collaborate with team members and business partners to deliver high quality solutions and recommendations to a variety of problems across the employee experience domain.
• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and strong ability to merge context and data for effective messaging and relevance of products.
• Reconcile divergent demands from multiple stakeholders in a fast-paced work environment while prioritizing the support of our Talent function.
• Provide definition, KPI, analysis and interpretation support to HR Leadership for Executive presentations and strategic initiatives.
• Use complex datasets to create and implement new data definitions, KPIs and Metrics in the interest of identifying metrics that matter to the employee's journey.
• Proactively assess the effectiveness of existing tool stack, monitor data accuracy, and consult partners to drive adoption.
• Provide expertise in Workday Reporting & Prism, Looker, and the Google Cloud Platform to ensure People Analytics datasets are accurate, efficient, and meaningful.

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Data Analyst

Junior Data Analyst

Data Analyst 3, Talent & People Analytics