Data Analyst

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL & Analytics) → Round 3: HR Interview

Barclays promotes a collaborative and inclusive work culture where employees are encouraged to share ideas and innovate. The bank offers structured learning paths, mentorship programs, and a healthy work‑life balance, making it an attractive place for fresh talent to grow.

Barclays' interview process typically starts with a timed online aptitude test focusing on quantitative, logical, and verbal reasoning. Successful candidates move to a technical interview where they are assessed on SQL queries, data manipulation, and basic statistical concepts. The final HR round evaluates cultural fit, communication skills, and motivation. Preparing with real‑world data scenarios and practicing SQL problems can greatly improve performance.

Graduates (B.Tech/B.E., B.Sc., B.Com, BBA) in Computer Science, Statistics, Mathematics, Economics or related fields; Minimum 60% aggregate (or CGPA 6.0/10); Batch 2024‑2026; No active backlogs at the time of joining; Strong analytical mindset and willingness to learn.

Barclays is a leading global financial services provider with a heritage spanning over three centuries. In India, the bank operates across major cities, offering a wide range of banking, investment, and technology solutions. The organization prides itself on fostering an inclusive culture, encouraging innovation, and investing heavily in digital transformation. With a strong emphasis on data‑driven decision making, Barclays continuously seeks fresh talent to power its analytics engine and deliver superior client experiences. The Data Analyst role in Pune is a pivotal position that bridges business needs with data insights. As a fresher, you will join a dynamic analytics team that works closely with product managers, risk officers, and technology engineers. Your primary responsibility will be to turn raw data into actionable intelligence that drives strategic initiatives across the bank. This role offers exposure to cutting‑edge tools, mentorship from senior analysts, and a clear growth trajectory toward senior analytics or data science positions. Key Responsibilities: 1. Collect, clean, and validate large datasets from multiple internal and external sources. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Develop interactive dashboards and visualizations using Tableau or Power BI. 4. Write complex SQL queries to extract and manipulate data from relational databases. 5. Conduct statistical analysis using Python or R to support business hypotheses. 6. Prepare concise reports and presentations for senior stakeholders. 7. Collaborate with cross‑functional teams to define data requirements and deliver solutions. 8. Monitor data quality metrics and implement improvement initiatives. 9. Assist in building predictive models under guidance of senior data scientists. 10. Stay updated with industry best practices and emerging analytics technologies. Tech Stack: SQL, Python (pandas, numpy), R, Excel, Tableau, Power BI, Git, JIRA, and basic knowledge of cloud platforms (AWS/GCP). Growth Path: Starting as a Junior Data Analyst, you can progress to Analyst, Senior Analyst, and eventually to Analytics Manager or Data Scientist, depending on performance and skill acquisition. Barclays supports continuous learning through internal training programs, certifications, and conference sponsorships. Why Join Barclays? You will be part of a globally recognized financial institution that values data as a strategic asset. The role offers hands‑on experience with real‑world financial data, mentorship from industry experts, and a collaborative environment that encourages innovation. Additionally, Barclays provides competitive compensation, flexible work arrangements, and a strong focus on employee well‑being.