About the Role

We are looking for a Data Analyst who can transform complex data into actionable insights and support strategic business decisions. In this role, you will work with large-scale datasets, build reliable analytical models, and collaborate closely with cross-functional teams to drive measurable business impact.

Key Responsibilities:

• Develop, maintain, and scale end-to-end analytical solutions to support business and product decision-making.

• Analyze large and complex datasets to identify trends, patterns, risks, and growth opportunities.

• Design, automate, and optimize analytical pipelines and workflows using SQL, R, and Python.

• Collaborate with data engineers, product managers, and business stakeholders to define analytical requirements and deliver data-driven solutions.

• Ensure data accuracy, consistency, and integrity across analytical and production environments.

• Build and maintain dashboards, reports, and self-service analytical tools.

• Contribute to KPI definitions, metric standardization, and data model development.

• Identify opportunities to automate manual processes and improve operational efficiency.

• Present analytical findings and recommendations clearly to technical and non-technical stakeholders.

Required Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

• 2+ years of experience in a Data Analyst or similar analytical role.

• Advanced SQL skills, including complex queries, joins, CTEs, window functions, and query optimization.

• Strong proficiency in R.

• Good working knowledge of Python.

• Experience working with large-scale datasets and production-grade analytics environments.

• Solid understanding of statistics and analytical methodologies.

• Strong problem-solving and communication skills with the ability to translate data into business insights.

• Experience in e-commerce, fintech, or logistics is a plus.