Data & Record Governance Analyst

Barclays’ interview process typically begins with a timed online aptitude test focusing on logical reasoning and quantitative ability. Successful candidates move to a technical interview that probes data governance concepts, SQL queries, and case‑study problem solving. The final HR round assesses cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation of data fundamentals and clear articulation of past projects are key to success.

Barclays promotes a collaborative and inclusive work environment where learning is continuous and ideas are welcomed. Employees benefit from clear career ladders, regular upskilling programs, and a balanced approach to work‑life integration, supported by flexible work options.

Graduates (B.Tech/B.E., B.Sc., M.Tech, MBA) in Computer Science, Information Technology, Data Science, Statistics, or related fields; minimum 60% aggregate or CGPA 6.0/10; no active backlogs; batch year 2025‑2027; strong analytical mindset and good communication skills.

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview (data governance concepts, SQL, case study) → Round 3: HR interview (fit, motivation, cultural alignment)

Barclays is a global financial services powerhouse with a heritage spanning over three centuries. In India, the bank has built a strong presence across retail, corporate, and investment banking, leveraging technology to deliver seamless experiences to millions of customers. The organisation’s commitment to innovation, sustainability, and inclusive growth has made it a preferred employer for ambitious graduates who want to make a tangible impact on the financial ecosystem. The Data & Record Governance Analyst role sits within the Customer Digital and Data business area, reporting to the Data Governance Lead. As a fresher, you will be part of a high‑performing analytics team that ensures the integrity, security, and compliance of data assets across the bank. Your day‑to‑day work will involve collaborating with data owners, architects, and business stakeholders to design and enforce governance policies that align with regulatory requirements and internal standards. Key responsibilities: 1. Develop and maintain data governance frameworks, policies, and standards for record management. 2. Conduct data quality assessments and remediate issues in collaboration with data owners. 3. Create and manage data lineage documentation to ensure traceability of critical data elements. 4. Implement metadata management solutions and maintain a central data catalog. 5. Monitor compliance with GDPR, RBI, and other relevant regulations, preparing audit reports as needed. 6. Support data stewardship initiatives, providing guidance and training to business users. 7. Participate in data migration and integration projects, ensuring governance controls are embedded. 8. Generate regular dashboards and metrics to track governance health and data risk. 9. Liaise with IT security and risk teams to align data protection measures. 10. Contribute to continuous improvement of governance processes through automation and best‑practice adoption. Tech stack: SQL, Python (pandas), data profiling tools (e.g., Informatica Data Quality), metadata management platforms (e.g., Collibra), Tableau/PowerBI for reporting, and cloud services (AWS/GCP) for data storage. Growth path: Starting as an Analyst, you can progress to Senior Analyst, Data Governance Lead, and eventually to Manager or Director roles overseeing enterprise‑wide data strategy. Barclays invests heavily in learning – you will have access to internal training, certifications, and mentorship programs. Why join Barclays? The bank offers a vibrant, inclusive culture where fresh talent is encouraged to voice ideas. You will work on real‑world data challenges that affect millions of customers, gaining exposure to cutting‑edge technologies and regulatory frameworks. Competitive compensation, robust career development, and a global network make Barclays an ideal launchpad for a data‑focused career.