Product Data Analyst
Location: This is a HYBRID role. Employees are expected to collaborate in-person on a regular cadence (3 days a week). Candidates should be based within commuting distance of our Vienna, Virginia office. This is NOT a remote position.
Role Overview
The Product Data Analyst is responsible for analyzing complex datasets, conducting research to answer ambiguous, open-ended data questions, and delivering actionable insights to support product and business decisions. This role combines SQL analysis, basic Python-based data exploration, and dashboard and report development to transform raw data into meaningful information.Key Responsibilities
- Investigate and solve open-ended data questions by exploring datasets and identifying patterns, anomalies, or insights.
- Write complex SQL queries to extract, analyze, and validate data from relational databases.
- Develop basic Python scripts to automate analysis, data cleaning, and data processing tasks.
- Conduct research to understand data sources, structures, and inconsistencies across systems.
- Build and maintain dashboards and reports using Tableau or SQL-based reporting tools.
- Translate analytical findings into clear summaries and visualizations for stakeholders.
- Collaborate with product, engineering, and business teams to define metrics, validate data, and support data-driven decisions.
Core Skills
- Strong SQL for data querying and analysis
- Data visualization and dashboard development in Tableau
- Analytical problem-solving and research skills
- Basic Python for data manipulation and automation
- Ability to work with ambiguous problems and incomplete data
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
- 2–3 years of experience in a data analysis or business intelligence role
- Proficiency in SQL with experience querying large relational databases
- Experience with Tableau or a comparable data visualization platform
- Familiarity with Python (pandas, NumPy, or similar libraries) for data processing
- Strong analytical mindset with the ability to structure and solve ambiguous problems
- Excellent written and verbal communication skills; ability to present findings to non-technical stakeholders
- Experience in healthcare technology or a regulated industry is a plus
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