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Data Analyst (Entry / Mid-Level)

Remote · New Zealand Full-time

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

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