Business Data Analyst

About The Role The Business Data Analyst bridges the gap between raw data infrastructure and executive decision‑making by transforming complex datasets into actionable business narratives. This role is responsible for the integrity of the analytical layer, ensuring that metrics across finance, product, and operations are accurate, consistent, and automated. The role operates within a high‑growth environment where data volume and complexity are increasing rapidly. It requires a specialist who can navigate a modern data stack to uncover growth levers, identify operational inefficiencies, and provide the technical foundation for a data‑driven culture. Key Responsibilities Develop and maintain automated dashboards in Tableau, Looker, or Sigma that track key performance indicators (KPIs) for senior leadership Write complex, optimized SQL queries to extract data from Snowflake or BigQuery, ensuring high performance and data accuracy Collaborate with analytics engineers to define data requirements and logic for dbt models, maintaining the 'single source of truth' for business metrics Perform deep‑dose exploratory data analysis to identify trends, anomalies, and opportunities for revenue optimization or cost reduction Translate ambiguous business questions into structured analytical projects, delivering findings through clear visualizations and executive‑level summaries Establish and monitor data quality alerts to identify upstream pipeline failures or logic drifts before they impact downstream reporting What We Are Looking For 3–6 years of experience in data analysis, business intelligence, or analytics engineering within a fast‑paced technology environment Expert‑level SQL skills, including proficiency with window functions, complex joins, and CTEs for large‑scale data manipulation Hands‑on experience with modern BI tools such as Looker (LookML), Tableau, or Mode, including dashboard design and performance tuning Foundational knowledge of Python or R for statistical analysis and data automation tasks Proven ability to communicate technical findings to non‑technical stakeholders and influence product or operational strategy Bachelor’s degree in a quantitative field such as Statistics, Economics, Computer Science, or Mathematics Bonus: Experience with dbt (data build tool), version control via Git, or working within a Snowflake/AWS ecosystem #J-18808-Ljbffr Scale.jobs