About the Role
We are looking for a Business Data Analyst to join our team and help us turn data into actionable business insights. In this role, you will work closely with different teams to analyze business performance, identify opportunities, solve problems, and support data-driven decision-making.
This is a hands-on role for someone who enjoys working with data, asking the right questions, and finding practical solutions to real business problems.
Key Responsibilities
Analyze business and operational data to identify trends, problems, and opportunities.
Build and maintain dashboards and reports for key business KPIs.
Work with large datasets using SQL and Python.
Perform exploratory data analysis and investigate business problems.
Develop and monitor performance metrics for different business functions.
Translate business questions into analytical problems and provide actionable insights.
Collaborate with Operations, Marketing, Finance, and Product teams.
Automate repetitive data analysis and reporting processes.
Conduct ad-hoc analysis to support business decisions.
Communicate analytical findings clearly to both technical and non-technical stakeholders.
Requirements
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
Strong knowledge of SQL.
Good understanding of statistics and data analysis.
Experience working with BI and visualization tools such as Power BI, Metabase, Grafana, or similar tools.
Strong problem-solving and analytical thinking skills.
Ability to work with large and complex datasets.
Ability to communicate findings clearly and turn analysis into practical business recommendations.
Nice to Have
Experience in Food Delivery, E-commerce, Logistics, Marketplace, or other high-volume businesses.
Good programming skills in Python.
Familiarity with Machine Learning and Data Science concepts.
Experience with customer, order, courier, or operational data.
Experience with A/B testing and experimentation.
Experience automating reports and analytical workflows.