Data Analyst (Entry / Mid-Level)
About The Role The role turns complex behavioral and transactional data into clear, actionable insight that helps clients make better decisions. This is not a dashboard maintenance role. Analysts are expected to ask better questions, build better frameworks, and communicate findings with conviction.
Key Responsibilities
- Write SQL queries against large behavioral and transactional datasets to extract, clean, and reshape data for analysis and reporting
- Build and maintain dashboards in Tableau or Power BI that give stakeholders clear, accurate visibility into business performance
- Design and analyze A/B tests with appropriate statistical rigor; communicate results in terms of business impact, not just p-values
- Automate recurring reporting workflows using Python (pandas) and SQL; eliminate manual steps that slow down the team
- Conduct exploratory analysis to surface trends, anomalies, and opportunities that were not on the original question list
- Present findings to business stakeholders and clients in clear written reports and structured presentations
- Document data sources, metric definitions, and analytical methodologies to support team knowledge-sharing
What We Are Looking For
- 0–4 years of data analysis experience; internships, academic projects, and freelance work count if the work was real
- SQL: you can write joins, aggregations, window functions, and subqueries without guidance
- Tableau or Power BI: dashboard building and calculated fields, not just drag-and-drop charts
- Python basics (pandas, matplotlib/seaborn) for data manipulation and ad hoc analysis
- Foundational statistics: hypothesis testing, confidence intervals, correlation vs. causation
- Clear, structured communication - your analysis is only as good as your ability to explain it
- Bonus: GA4, Amplitude, Mixpanel, dbt, Redshift, or direct-to-consumer / e-commerce domain experience
Location Chicago, IL (Hybrid)
- San Francisco Bay Area
- New York City
- Dallas
- Washington, DC
- Boston
- Remote