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
⢠0ā4 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
Apply tot his job
Apply To this Job
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
⢠0ā4 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
Apply tot his job
Apply To this Job