Barclays is a global financial services powerhouse with a heritage spanning over three centuries. In India, the bank operates a massive technology campus in Pune, home to around 9,000 professionals across operations, technology and functional domains. The campus is designed to foster innovation, collaboration and continuous learning, offering employees exposure to cutting‑edge banking products, large‑scale data platforms and a multicultural work environment. As part of the Global Payment Services division, the Data & Analytics team drives data‑centric strategies that enable millions of customers worldwide to transact securely and efficiently. The Data Analyst role in Pune is a permanent, full‑time position aimed at fresh graduates with a strong analytical mindset. You will be responsible for turning raw data into actionable insights that influence business decisions, improve operational efficiency and support product innovation. Working closely with product owners, engineers and business stakeholders, you will design, build and maintain data pipelines, develop visual dashboards and apply advanced analytical techniques to uncover hidden patterns. Key responsibilities include: 1. Investigate data quality issues, document lineage and recommend remediation steps. 2. Design and implement automated data pipelines using Python, SQL, Snowflake and Databricks. 3. Perform statistical analysis and exploratory data analysis to identify trends and correlations. 4. Build and validate logical data models that align with business requirements. 5. Develop interactive dashboards and visual reports using industry‑standard tools. 6. Automate recurring reporting processes for both ad‑hoc and scheduled stakeholder needs. 7. Collaborate with cross‑functional teams to translate analytical findings into concrete business recommendations. 8. Contribute to the continuous improvement of data governance, risk controls and documentation standards. 9. Stay updated with emerging technologies such as cloud platforms (AWS), CI/CD pipelines (GitLab) and basic machine‑learning concepts. 10. Mentor junior team members and share best practices across the analytics community. The tech stack revolves around Python, SQL, Snowflake, Databricks, DBT, AWS, GitLab and CI/CD tools. Barclays offers a clear growth path – from analyst to senior analyst, then to data engineer or analytics manager, with opportunities to move across domains like payments, risk, and digital banking. Joining Barclays means working in a future‑focused environment that values diversity, continuous learning and a strong ethical foundation. You will gain exposure to large‑scale financial data, develop end‑to‑end analytics solutions and be part of a culture that rewards curiosity, collaboration and impact.