Senior Data Analyst

About the role

Tech Mahindra, a global IT services and consulting organization, is hiring a Senior Data Analyst. The role involves analysing large datasets from multiple business sources, building SQL and BI solutions, and supporting data warehouse initiatives.

Key responsibilities

• Analyse, validate and interpret large datasets from multiple business sources to support data-driven decisions.
• Develop, optimise and maintain SQL queries, stored procedures and data models for reporting and analytics.
• Design, develop and maintain dashboards and reports using Power BI, Tableau or similar BI tools.
• Perform data quality analysis, validation and root cause analysis to ensure data accuracy and integrity.
• Collaborate with business stakeholders, data engineers and cross-functional teams to turn requirements into analytical solutions.
• Support data warehouse work such as data mapping, ETL validation, dimensional modelling and data reconciliation.
• Conduct data investigations, trend analysis and performance reporting, and identify opportunities for process improvement and automation.

Required profile

• Bachelor's degree in Computer Science, IT, Engineering, Mathematics, Statistics or a related field.
• 2-9 years of experience in data analysis, business intelligence, reporting or data warehousing.
• Strong SQL skills (queries, joins, stored procedures, performance tuning).
• Experience with BI/reporting tools such as Power BI, Tableau or QlikView.
• Knowledge of data warehouse concepts, ETL, dimensional modelling and data lifecycle management.
• Experience with relational databases such as Oracle, SQL Server, PostgreSQL or MySQL.
• Knowledge of data governance, data quality and data validation; ability to explain analytical findings to technical and business audiences.
• Preferred: experience in financial services, investment, ESG or enterprise analytics; exposure to PL/SQL, Python or data automation tools; cloud platforms such as Azure, AWS or Google Cloud; Agile experience and stakeholder management.