About the Role
We are looking for an experienced Senior Data Analyst to turn complex data into meaningful insights that support product performance, program outcomes, operational effectiveness, and business decisions. This is a fully remote, full-time position open to candidates in the United States.
You will work closely with Product, Operations, Client Success, Analytics Engineering, Data Engineering, and business leadership to evaluate performance, identify improvement opportunities, and establish reliable ways to measure success. The role requires strong SQL skills, hands-on experience with Databricks or a comparable cloud data platform, and the ability to turn analytical findings into clear, actionable recommendations.
Key Responsibilities
- Partner with Product Managers and business leaders to define KPIs, business metrics, and measurement frameworks for products, programs, and strategic initiatives.
- Analyze product performance, utilization, adoption, engagement, financial results, and member behavior.
- Conduct in-depth analyses to identify trends, anomalies, opportunities, and the key drivers of business performance.
- Evaluate new product capabilities, program changes, and business initiatives using data-driven approaches.
- Develop ongoing measurement strategies to track product and program performance over time.
- Use advanced SQL in Databricks to analyze large, complex datasets.
- Combine data from multiple sources to build comprehensive views of customers, members, products, and programs.
- Perform exploratory analysis, segmentation, cohort analysis, trend analysis, variance analysis, and root-cause analysis.
- Investigate unexpected changes in performance and identify meaningful patterns, relationships, and underlying causes.
- Translate analytical findings into practical business recommendations and help stakeholders determine appropriate next steps.
- Collaborate with Analytics Engineering and business stakeholders to establish consistent metrics and analytical definitions.
- Identify data quality, availability, and modeling issues that may affect analytical results.
- Work with Data Engineering and Analytics Engineering teams to improve underlying datasets and analytical models.
- Validate analytical datasets and ensure metrics accurately reflect business processes.
- Contribute analytical and business requirements for reusable Gold-layer datasets and analytical data products.
- Develop recurring analytical views and reports that help Product and business teams monitor performance.
- Support customer-facing reporting with accurate, explainable, and consistent metrics.
- Convert recurring analytical requests into standardized, reusable solutions where appropriate.
- Present findings through clear visualizations, presentations, and recommendations.
- Support business reviews, product reviews, client discussions, and strategic planning.
- Build a strong understanding of the products, programs, and business areas you support.
- Act as a trusted analytical partner to Product Managers and business leaders, helping define business questions and determine how data can inform decisions.
- Proactively identify opportunities for analysis, challenge assumptions, and distinguish between symptoms, root causes, and actionable improvements.
- Communicate analytical findings clearly, including relevant assumptions, limitations, and uncertainties.
Required Qualifications
- At least five years of experience in data analytics, product analytics, business analytics, or a related field.
- Advanced SQL skills and experience working with large, complex datasets.
- Strong hands-on experience with Databricks or a comparable modern cloud data platform.
- Demonstrated experience supporting product, program, or business performance analytics.
- Strong understanding of segmentation, cohort analysis, trend analysis, variance analysis, root-cause analysis, and exploratory analysis.
- Experience defining KPIs, business metrics, and measurement frameworks.
- Strong data validation, analytical thinking, and problem-solving skills.
- Ability to translate ambiguous business questions into structured analytical approaches.
- Excellent written and verbal communication skills, including the ability to present findings to technical and non-technical audiences.
- Ability to collaborate effectively with Product, Engineering, Operations, Analytics, and business teams.
Ideal Candidate
The ideal candidate goes beyond preparing reports or responding to one-off requests. You should be comfortable writing complex SQL in Databricks, investigating unexpected changes in product performance, defining KPIs with Product Managers, identifying the root causes of business problems, and presenting clear recommendations to leadership.
You will have the opportunity to take analytical ownership of a product or program and help shape business decisions through reliable data and meaningful insights.
Location & Work Arrangement
- Location: United States
- Work Arrangement: 100% Remote
- Employment Type: Full-Time
Why Join Us?
- Work on high-impact product and business analytics initiatives.
- Partner directly with Product teams and business leadership.
- Analyze large, complex datasets using modern data technologies.
- Influence how products and programs are measured, evaluated, and improved.
- Contribute analytical insights that directly inform business decisions.
- Work collaboratively across teams in a role that values problem-solving and data-driven recommendations.
How to Apply
Interested candidates can apply for the Senior Data Analyst position or reach out to learn more about the opportunity.