Job Description: Data Analyst – Retail Industry
Experience: 4+ Years
Location: India – Remote
Industry: Retail
Employment Type: Full-time
Job Summary
We are looking for an experienced Data Analyst with strong Python skills and a solid understanding of Data Lake architecture, data engineering, and ETL/ELT processes. The candidate will analyze large-scale retail datasets, support data pipeline development, and deliver actionable insights to improve business performance.
Key Responsibilities
Analyze large retail datasets related to sales, inventory, pricing, promotions, customer behavior, and product performance.
Work with Data Lakes and understand Data Lake architecture, including data ingestion, storage, processing, and consumption.
Develop, maintain, and optimize data processing workflows using Python and SQL.
Support the design, development, and maintenance of ETL/ELT pipelines for integrating data from multiple retail systems.
Ensure data quality, accuracy, consistency, and integrity across data platforms.




Perform ad hoc analysis and develop reports and dashboards to monitor retail KPIs.
Collaborate with business stakeholders and technical teams to gather requirements and translate them into data solutions.
Support data modeling, data validation, data reconciliation, and troubleshooting of pipeline issues.
Document analysis findings, data requirements, process changes, and their business impact.
Work with cloud-based data platforms and support scalable data engineering and analytics solutions.
Required Skills
Experience: 4+ years of experience in Data Analytics, Data Engineering, or a related field.
Python: Strong hands-on experience in Python for data processing, transformation, automation, and large-scale data analysis.
Data Lake Architecture: Solid understanding of Data Lakes, Data Lake architecture, data ingestion, storage layers, and data processing workflows.
Data Engineering: Hands-on experience with ETL/ELT processes, data pipelines, data integration, and

📌 Data Analyst – Retail Industry (India)
🏢 GreatHR Solutions
📍 India