Product Data Analyst
Careviso • Vienna, VA34d • Hybrid
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Product Data Analyst
Careviso•Vienna, VA
•Hybrid
About The Position
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. 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.
Requirements
- 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
- 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
Nice To Haves
- Experience in healthcare technology or a regulated industry is a plus
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
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