Product Data Analyst
Purple Squirrel Enterprises
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
About careviso:
careviso is a cutting-edge, rapidly-growing healthcare technology company. By automating the impossible we’re able to solve the most complex problems in the healthcare industry in real-time: prior authorizations and financial transparency.
careviso created a complete technology platform that increases patient access to care by delivering cost estimates, administrative requirements, and approvals in real time. Our mission is to support patients, providers, and payors with total access to healthcare.
All employees must be authorized to work in the United States. careviso provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, careviso complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
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