Business Data Analyst

About The Role

The Business Data Analyst bridges the gap between raw data infrastructure and strategic decision-making. This role focuses on transforming complex datasets from various business systems into actionable insights that drive revenue growth and operational efficiency.

Working within a modern data stack, the position involves partnering with product, finance, and marketing teams to define core KPIs, build automated reporting, and perform deep-dive exploratory analysis. The role is critical for ensuring data integrity and providing the analytical narrative behind the company's performance metrics.

Key Responsibilities

• Develop and maintain complex SQL queries and dbt models to transform raw data into clean, analysis-ready tables in Snowflake or BigQuery
• Design, build, and optimize automated dashboards in Tableau, Looker, or Sigma that provide real-time visibility into business performance
• Perform ad-hoc deep-dive analyses to identify trends, anomalies, and opportunities for process improvement across different business units
• Partner with data engineering to define requirements for new data sources and ensure the accuracy of ingested data via rigorous QA processes
• Translate business requirements into technical specifications and deliver data-driven recommendations to non-technical stakeholders
• Document data definitions, metric logic, and analytical methodology to ensure a single source of truth across the organization

What We Are Looking For

• 3–6 years of experience in data analytics, business intelligence, or a similar quantitative role at a high-growth technology company
• Expert-level SQL skills with the ability to write complex joins, window functions, and CTEs for large-scale datasets
• Hands-on experience with modern BI tools such as Tableau, Looker (LookML), or Sigma Computing
• Strong understanding of data modeling concepts and experience working with transformation tools like dbt
• Bachelor’s degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or Engineering
• Bonus: Proficiency in Python or R for statistical analysis; experience with Salesforce or Netsuite data schemas; familiarity with version control via Git