Extract, clean, and analyze large and complex data sets to support business initiatives.
Develop and optimize SQL queries, pipelines, and datasets for reporting and analytics.
Use analytical programming languages such as Python or R to perform data manipulation, statistical analysis, and modeling.
Build dashboards, reports, and visualizations using BI tools (e.g., Tableau, Power BI) to communicate trends and insights.
Partner with product managers, data engineers, and domain experts to define analytical requirements and metrics.
Translate business problems into structured analytical approaches and provide clear, actionable insights.
Ensure data accuracy through rigorous validation, documentation, and quality controls.
Support product, pricing, and model development teams with data-driven recommendations.

Bachelor’s degree in Statistics, Economics, Computer Science, or a related quantitative field
2+ years in a data analyst or business intelligence role
Strong SQL skills, including complex joins, window functions, and performance optimization
Proficiency in Python or R for data manipulation and analysis
Experience working with large, complex datasets in enterprise environments
Ability to translate business questions into analytical frameworks
Solid understanding of statistical concepts (regression, variance, distributions, hypothesis testing)
Experience building dashboards/reports using BI tools such as Tableau or Power BI
Strong attention to data quality, validation, and documentation

Data Analyst

Key skills