About The Role
The Business Data Analyst turns operational and customer data into reliable reporting, decision-ready analysis, and measurable recommendations. The role works across SQL data models, product analytics, financial metrics, and business intelligence workflows to help teams understand performance and identify opportunities for improvement.
The analyst partners with product, operations, finance, and engineering stakeholders to define metrics, investigate trends, and deliver dashboards that can be trusted. This role is well suited to someone who is comfortable moving between data exploration and stakeholder-facing analysis in a fast-growing technology environment.
Key Responsibilities
Query and analyze large datasets using SQL to identify trends, anomalies, drivers, and opportunities across product and business operations
Build and maintain dashboards and recurring reports in Looker, Tableau, or Power BI, ensuring consistent metric definitions and clear presentation
Translate ambiguous business questions into analytical plans, documented requirements, and actionable recommendations
Collaborate with analytics engineers and data engineers to improve source data quality, dimensional models, and reporting pipelines
Develop reusable analysis workflows in Python or R for forecasting, segmentation, experimentation, and ad hoc business investigations
Define and monitor key performance indicators across acquisition, engagement, retention, revenue, and operational efficiency
Present findings to cross-functional stakeholders using concise narratives, clear visualizations, and defensible analytical methods
What We Are Looking For
1–3 years of experience in business analytics, data analysis, product analytics, operations analytics, or a related role
Advanced SQL skills, including multi-table joins, common table expressions, window functions, aggregations, and query optimization
Hands-on experience with a business intelligence platform such as Looker, Tableau, Power BI, or Mode
Working proficiency in Python or R for data cleaning, exploratory analysis, visualization, and statistical analysis
Strong understanding of analytical concepts including metric design, cohort analysis, experimentation, forecasting, and data validation
Bachelor’s degree in business analytics, statistics, economics, computer science, mathematics, or a related quantitative field
Bonus: experience with dbt, Snowflake, BigQuery, Redshift, Amplitude, Mixpanel, Git, or experimentation platforms