Staff Data Analyst
Leads advanced analytics that shape product and business decisions, developing trusted data models, dashboards, data products, and AI-enabled reporting. Requires 8+ years of analytical experience, strong SQL and dbt expertise, data storytelling ability, and cross-functional leadership.
About the job
Responsibilities
- Partner with technical and business stakeholders to define business metrics, dashboards, data products, and AI-enabled reporting systems.
- Conduct rigorous analyses to identify root causes, uncover opportunities, forecast outcomes, and drive product and business impact.
- Translate complex findings into compelling narratives that influence strategic direction.
- Collaborate with Data Engineers on dimensional data models, data completeness, accuracy, and reliable delivery.
- Champion data governance, data quality, and code quality practices.
- Align roadmaps with business priorities and improve problem framing.
- Provide technical mentorship and drive clarity across the Data team.
Requirements
- Bachelor's degree in an analytical field, such as STEM.
- 8+ years of hands-on experience influencing product and business decisions through advanced analytics.
- Advanced experience collaborating with Data and Analytics Engineers to build robust data models and data quality guardrails.
- Deep experience with SQL and dbt for querying, transforming, and validating complex datasets.
- Experience designing, presenting, and influencing stakeholders with data products and visualizations.
- Strong communication, storytelling, leadership, and stakeholder-management skills.
- Self-starter mentality with the ability to independently deliver on commitments.
Nice-to-haves
- Master's or Ph.D. degree.
- Healthcare or pharmacy experience.
Compensation & Benefits
- Base salary range: $120,700–$170,400 USD, varying by work location, level, knowledge, skills, and experience.
- Potential eligibility for bonuses, commissions, or equity.
- Medical, pharmacy, dental, vision, life, AD&D, and disability insurance.
- Flexible spending benefits.
- 401(k) retirement savings program.
- Discretionary paid time off and company holidays.
- Wellness, commuter, employee assistance, and professional development benefits.
- Paid parental leave.
Skills
SQL, dbt, Data Modeling, Data Governance, Data Quality, Data Visualization, Business Intelligence, Analytics, Dimensional Modeling, Data Products
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