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Senior Data Analyst Jobs

Tracking 100K+ company job sources, this list updates hourly with senior data analyst roles across product, revenue, finance, marketing, operations, healthcare, and business intelligence.

Typical titles include senior or principal data analyst, business intelligence analyst, analytics lead, reporting lead, analytics manager, and domain-specific positions in product, risk, revenue, or operations. The work can range from writing SQL and defining trusted metrics to building dashboards, designing experiments, forecasting performance, investigating data quality, and presenting recommendations to business teams. Product analytics often involves close partnership with engineering and product management; finance, healthcare, and other domain roles may place more weight on controls and subject knowledge. Seniority is best judged through ownership of ambiguous questions, influence on decisions, stewardship of metric definitions, and responsibility for mentoring or managing analysts. A manager role can still include substantial analysis, while a principal analyst may set standards without direct reports.

Separate the inventory into reporting, product or experimentation, forecasting, and analytics-leadership work before making a shortlist. Within the relevant group, compare data scale, SQL and visualization tools, stakeholder level, management scope, and the split between recurring reporting and open-ended analysis. Note who owns metric definitions and who acts on the analysis, since both shape the role's influence. The posting may describe an assessment or interview format; if it does, use that information to decide whether to prepare technical, analytical, or communication examples. Company, location, industry, compensation, and sponsorship criteria can then reduce the set. Compare disclosed base pay, bonus or equity, flexibility, and deadline expectations with the actual remit. Related titles are worth reviewing when the responsibilities align, and experience with a comparable tool can still be relevant even when the named stack differs.

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Featuring roles at
Canva
Netflix
Notion
Visa
Capital One
& 100K+ more
Got questions?

Explore our FAQ section to learn more.

This list covers senior, staff, and principal data analysis roles, including data analysts, business intelligence analysts, analytics specialists, reporting analysts, insights analysts, and related analytics positions.

Show decisions your analysis influenced, the stakeholders you supported, and the quality and scale of the data. Quantify revenue, cost, efficiency, customer, risk, or product outcomes when possible.

Common requirements include SQL, spreadsheets, BI tools, data visualization, statistics, experimentation, data modeling, and clear communication. Some roles also expect Python or R and familiarity with a cloud data warehouse.

Expect SQL, analytical cases, metric design, dashboard critique, experiment interpretation, and examples of turning ambiguous questions into recommendations. Some employers use take-home exercises or presentations.

Data analysis often investigates questions and recommends actions, while business intelligence emphasizes trusted metrics, reporting, dashboards, and recurring decision support. Many senior roles combine both.

Not necessarily. Senior and principal analysts often remain individual contributors who lead complex analyses and influence strategy. Management roles add hiring, coaching, prioritization, and performance responsibilities.

Ask about metric ownership, data quality, documentation, testing, self-service reporting, stakeholder intake, experiment practices, access controls, and whether analysts have time for proactive work.

Compare stakeholder access, decision influence, data quality, tooling, analytical autonomy, reporting workload, career path, team structure, and whether success is measured by business outcomes or only output volume.