Data Analyst

Barclays' interview process usually starts with a timed online aptitude test followed by a technical interview focusing on SQL queries, data manipulation in Python, and case‑study discussions. The final HR round assesses cultural fit and communication. Candidates find the technical round moderately challenging but manageable with solid fundamentals, and preparation on real‑world data scenarios helps greatly.

Round 1: Online Aptitude Test (logical reasoning, quantitative, verbal) → Round 2: Technical Interview (SQL, Python, case studies, data modeling) → Round 3: HR Interview (fitment, motivation, salary discussion)

Barclays promotes a collaborative and inclusive work environment where employees are encouraged to innovate and take ownership of their projects. The firm offers structured learning programs, mentorship, and a healthy work‑life balance, allowing fresh talent to grow quickly within a global financial ecosystem.

Graduates (B.Tech/B.E., B.Sc., B.Com, MBA) from any stream with a minimum CGPA/percentage of 6.5/65%; batches 2023‑2026; no active backlogs; strong analytical mindset; willingness to learn data‑analytics tools; good communication skills.

Barclays is a leading global financial services provider with a strong presence in India. With over three centuries of banking heritage, the firm offers a wide range of services including retail banking, corporate banking, wealth management, and investment banking. In India, Barclays has built a reputation for innovation, leveraging technology to deliver seamless financial solutions to its customers. The company’s culture emphasizes collaboration, continuous learning, and a commitment to ethical conduct, making it an attractive destination for fresh talent. As a Data Analyst at Barclays Gurugram, you will be part of the analytics team that drives data‑centric decision making across the organization. The role is designed for fresh graduates who are eager to apply analytical techniques to real‑world financial data, build robust data pipelines, and translate insights into actionable business recommendations. You will work closely with business stakeholders, data engineers, and senior analysts to ensure data quality, develop visualisations, and support strategic initiatives. Key Responsibilities: 1. Investigate and analyse data quality issues, lineage, and source identification, documenting findings and recommending improvements. 2. Design, develop, and maintain automated data pipelines for efficient data movement and processing. 3. Apply advanced analytical techniques on large datasets to uncover trends, correlations, and predictive insights. 4. Build validated logical data models that align with business requirements. 5. Translate analytical findings into clear, actionable business recommendations for operational enhancements. 6. Create interactive dashboards and visual reports using tools such as Tableau or Power BI, and automate reporting for regular and ad‑hoc needs. 7. Collaborate with cross‑functional teams to define data requirements and ensure alignment with business goals. 8. Conduct root‑cause analysis for data anomalies and propose corrective actions. 9. Stay updated with emerging AI/ML techniques and suggest their application to improve analytical capabilities. 10. Participate in knowledge‑sharing sessions and contribute to the continuous improvement of analytics processes. Tech Stack: SQL, Python (pandas, numpy), R, Excel, Tableau, Power BI, AWS (S3, Glue), Snowflake, Git, and basic machine‑learning libraries (scikit‑learn). Growth Path: Starting as a Data Analyst, you can progress to Senior Analyst, Lead Analyst, Analytics Manager, and eventually to Director of Data & Analytics, with opportunities to move across domains such as risk, finance, and digital transformation. Why Join Barclays: You will work in a globally recognised financial institution that invests heavily in technology and talent development. The role offers exposure to large‑scale financial data, mentorship from seasoned professionals, and a clear career trajectory. Barclays also promotes a diverse and inclusive workplace, encouraging fresh ideas and offering continuous learning programs to accelerate your growth.