Data Analyst E-commerce India (Third party payroll position)

Role & responsibilities

• Collect, clean, and analyse large datasets from multiple sources to support business objectives.
• Monitor and evaluate key e-commerce metrics such as traffic, conversion rates, customer acquisition, retention, and revenue.
• Develop and maintain dashboards, reports, and data visualizations for stakeholders.
• Analyse customer behaviour, purchase patterns, product performance, and campaign effectiveness.
• Work closely with Business, Marketing, Product, Operations, and Technology teams to identify opportunities for growth.
• Perform ad hoc analysis and provide actionable recommendations based on data insights.
• Identify trends, anomalies, and business opportunities through data mining techniques.
• Support forecasting, sales planning, and performance tracking initiatives.
• Ensure data accuracy, integrity, and consistency across reporting systems.
• Automate recurring reports and improve reporting efficiency.

Required Skills & Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related field.
• Minimum 2+ years of experience as a Data Analyst, preferably in the E-commerce/Retail domain.
• Strong proficiency in SQL for data extraction and analysis.
• Experience with Excel (Advanced Functions, Pivot Tables, Power Query).
• Hands-on experience with data visualization tools such as Power BI, Tableau, or Looker.
• Working knowledge of Python or R for data analysis is preferred.
• Understanding of e-commerce KPIs such as Conversion Rate, AOV, CAC, CLV, Retention, and Cart Abandonment.
• Strong analytical, problem-solving, and communication skills.
• Ability to translate complex data into meaningful business insights.

Preferred candidate profile

• Experience working with marketplaces such as Amazon, Flipkart, Myntra, or D2C platforms.
• Knowledge of Google Analytics (GA4) and digital marketing metrics.
• Understanding of ETL processes and data warehousing concepts.
• Experience with A/B testing and customer segmentation analysis.