Business Data Analyst

The Business Data Analyst turns operational and product data into clear analysis that guides product decisions, improves business performance, and exposes opportunities for automation. The role works across structured warehouse data, event streams, and business systems to define metrics and explain what is driving changes in performance.

The analyst will partner with product, operations, finance, and engineering teams to build trusted reporting and self-service analytics. The work includes writing production-quality SQL, maintaining dashboards, investigating data quality issues, and translating ambiguous business questions into measurable analysis.

Key Responsibilities

• Build and maintain analytical datasets and recurring reports in Snowflake or BigQuery using advanced SQL and dbt
• Define and document business metrics, KPI logic, and source-of-truth data models in collaboration with product and operations stakeholders
• Develop dashboards and self-service reporting in Looker, Tableau, or Power BI for product, revenue, customer, and operational performance
• Analyze trends, cohorts, funnels, and experiment results using SQL and Python to identify drivers and quantify business impact
• Investigate data discrepancies across warehouse tables, application events, and business systems; partner with data engineers to resolve root causes
• Automate recurring analyses and reporting workflows with Python, scheduled queries, and modern data orchestration tools
• Present concise findings and recommendations to technical and nontechnical audiences, clearly separating observed results from assumptions and limitations

• 1–3 years of experience in business analytics, data analysis, product analytics, or a related role
• Advanced SQL skills, including complex joins, window functions, CTEs, data validation, and query optimization
• Experience building dashboards and governed reporting in Looker, Tableau, Power BI, or an equivalent BI platform
• Working proficiency in Python for analysis, including pandas, basic statistical testing, and data visualization
• Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift, plus dimensional modeling and dbt concepts
• Strong communication skills with the ability to clarify ambiguous requests, document metric definitions, and deliver decision-ready analysis
• Bonus: experience with experimentation, Amplitude or Segment, Airflow, Git, causal analysis, or a degree in statistics, economics, mathematics, computer science, business analytics, or a related field