Senior Data Analyst

About Tech Mahindra

Tech Mahindra is a leading global IT services and consulting organization, delivering innovative digital transformation, cloud, AI, engineering, and enterprise business solutions to clients worldwide. Operating in over 90 countries, the company helps enterprises accelerate growth through technology-driven innovation and customer-centric solutions. As part of the Mahindra Group, Tech Mahindra is recognized for its strong focus on digital engineering, telecommunications, and next-generation technologies. With a diverse global workforce, the organization fosters a culture of continuous learning, collaboration, and professional development

Key Responsibilities

• Analyze, validate, and interpret large datasets from multiple business sources to generate meaningful insights and support data-driven decision-making.
• Develop, optimize, and maintain SQL queries, stored procedures, and data models to support reporting and analytical requirements.
• Design, develop, and maintain dashboards and reports using BI tools such as Power BI, Tableau, or similar reporting platforms.
• Perform data quality analysis, data validation, and root cause analysis to ensure data accuracy, consistency, and integrity.
• Collaborate with business stakeholders, data engineers, and cross-functional teams to gather requirements and translate them into analytical solutions.
• Support data warehouse initiatives, including data mapping, ETL validation, dimensional modeling, and data reconciliation.
• Conduct data investigations, trend analysis, and performance reporting to address complex business queries and operational challenges.
• Identify opportunities for process improvements, automation, and reporting optimization.

Required Skills & Experience

• Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related field.
• 2-9 years of experience in Data Analysis, Business Intelligence, Reporting, or Data Warehousing environments.
• Strong hands-on experience in SQL (queries, joins, stored procedures, performance tuning, data analysis).
• Experience with BI/Reporting tools such as Power BI, Tableau, QlikView, or similar platforms.
• Good understanding of Data Warehouse concepts, ETL processes, dimensional modeling, fact and dimension tables, and data lifecycle management.
• Strong analytical, problem-solving, and data interpretation skills.
• Experience working with relational databases such as Oracle, SQL Server, PostgreSQL, MySQL, or similar platforms.
• Knowledge of data governance, data quality, and data validation practices.
• Ability to communicate complex analytical findings effectively to technical and business stakeholders.
• Experience in financial services, investment data, ESG data, or enterprise analytics environments is an added advantage.

Preferred Skills

• Exposure to PL/SQL, Python, or data automation tools.
• Understanding of cloud-based data platforms such as Azure, AWS, or Google Cloud.
• Experience working in Agile environments and collaborating with global teams.
• Strong stakeholder management and communication skills.