Key Responsibilities :

- Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.

- Develop and maintain data reports and dashboards using business intelligence tools (Azure / Microsoft Fabric).

4-8 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.

- Collaborate with business teams to understand key business objectives and data needs.

- Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.

- Ensure data models and structures are well-designed to facilitate analysis and reporting.

- Act as a bridge between data engineers and business stakeholders, ensuring data is aligned with business needs.

Skill Set :

- 6 - 8 years of Data Engineering experience.

- Strong hands-on experience in Azure / Microsoft Fabric.

- ADF, Fabric Pipelines, Lakehouse, Data Warehouse, Notebooks.

- Strong SQL, Python, PySpark, and Spark skills.

- Strong database experience with SQL Server / Azure SQL, including complex queries, stored procedures, performance tuning, database design.

- Experience with ETL/ELT, Azure Data Lake, Delta Lake, Medallion Architecture, CDC/incremental loads, and data warehousing.

- Experience with Azure SQL Database, SQL Server, and/or other relational databases.

- Experience with CI/CD, Git, deployment, troubleshooting, and production support.

- Strong analytical, problem-solving, and communication skills.

- Excellent communication and presentation skills are essential.

Experience : 4 - 8 years.