Data Analyst (Entry / Mid-Level)
2 - 5 years
Chicago, IL
Full-time
Remote
1 month ago
About the role
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
What We Are Looking For
Location
Chicago, IL (Hybrid)
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
Skills
Staffing and RecruitingAnalyst