
Eligibility Criteria
Bachelor’s degree (B.Com, B.Sc or any relevant discipline), minimum 60% aggregate, batch year 2025‑2027, 0‑1 years of experience, no active backlogs, strong analytical and communication skills.

Job Description & Key Responsibilities
Deloitte is one of the world’s leading professional services firms, offering consulting, audit, tax, and advisory solutions to a diverse set of industries. In India, Deloitte operates through Deloitte India and Deloitte Support Services India Pvt. Ltd., delivering high‑impact projects for global clients while fostering a culture of continuous learning, inclusion, and innovation. The firm invests heavily in upskilling its workforce, providing access to cutting‑edge tools, mentorship programs, and global mobility opportunities. Employees benefit from a collaborative environment where ideas are encouraged, and career growth is accelerated through structured learning pathways.
The role of Service Associate – Global Data Management – Data Validation is positioned within Deloitte’s Global Data Management team. As a fresh graduate or early‑career professional, you will be responsible for ensuring that data flowing into enterprise platforms is accurate, complete, and conforms to business rules. The position works on a 2 PM – 11 PM shift from the Hyderabad office, supporting data onboarding, cleansing, and post‑load validation activities. You will collaborate closely with ETL developers, business analysts, and senior data engineers, gaining exposure to end‑to‑end data pipelines and finance‑related data operations.
Key Responsibilities:
1. Review incoming data sets to spot anomalies, gaps, and inconsistencies.
2. Perform data cleansing, enrichment, and transformation as per defined standards.
3. Validate source data against business requirements and rule‑sets.
4. Execute post‑load validation checks to ensure data integrity in target systems.
5. Document data quality issues, validation results, and remediation steps.
6. Work with ETL developers and senior team members to resolve data defects.
7. Conduct basic root‑cause analysis (RCA) for validation failures.
8. Collaborate with business, IT, and project teams to align data quality expectations.
9. Follow and promote data‑quality standards and best practices.
10. Suggest process‑improvement ideas to enhance efficiency and accuracy.
Tech Stack & Tools: SQL (SELECT, JOIN, GROUP BY, sub‑queries), Azure Data Factory, SAP BusinessObjects Data Services (BODS), Microsoft Excel (advanced formulas, VBA/macros), Microsoft Word, PowerPoint, basic debugging and RCA techniques.
Growth Path: Starting as a Services Support Associate I, high performers can progress to Senior Associate, Data Analyst, Data Engineer, and eventually to Manager or Consultant roles within Deloitte’s Data & Analytics practice. The firm’s internal mobility program enables movement across domains such as risk, finance, and technology consulting.
Why Join Deloitte? Deloitte offers a strong brand reputation, competitive compensation, and a vibrant learning ecosystem. Freshers gain hands‑on experience with enterprise‑grade data platforms, mentorship from seasoned professionals, and a clear career ladder. The supportive work culture, emphasis on work‑life balance, and exposure to global projects make Deloitte an ideal launchpad for a data‑centric career.