Product Data Analyst

Careviso • Vienna, VA

9h • 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level