Data Analyst

Barclays is a globally recognised financial institution with a strong presence in India, especially in major technology hubs like Pune. The bank prides itself on fostering an inclusive culture that blends rigorous analytical thinking with innovative problem‑solving. Over the years, Barclays has built a reputation for investing heavily in talent development, offering its employees continuous learning opportunities, mentorship programs, and exposure to cutting‑edge financial technologies. In India, Barclays operates a vibrant technology and analytics division that supports its worldwide banking operations. The division works on everything from risk analytics and fraud detection to customer insights and digital transformation. Employees get to collaborate with cross‑functional teams, ranging from product managers to data scientists, and contribute to projects that have a tangible impact on the bank’s strategic decisions. The Data Analyst role is an entry‑level position designed for fresh graduates or candidates with up to two years of experience. As a Data Analyst at Barclays Pune, you will be responsible for extracting, transforming, and loading data from multiple sources, building robust data pipelines, and creating visual dashboards that enable business stakeholders to make data‑driven decisions. You will work closely with senior data engineers and business analysts to ensure data integrity, develop predictive models, and communicate insights effectively. Key Responsibilities: 1. Investigate and resolve data quality issues, documenting sources, lineage, and remediation steps. 2. Design and develop automated data pipelines for efficient data movement. 3. Apply advanced analytics and statistical techniques to large data sets to uncover trends and correlations. 4. Build and validate logical data models that align with business requirements. 5. Translate analytical findings into actionable business recommendations for process improvement. 6. Create interactive dashboards and visual reports using tools such as Tableau or Power BI. 7. Automate reporting workflows for both regular and ad‑hoc stakeholder requests. 8. Collaborate with data engineering, product, and business teams to define data requirements. 9. Stay updated with emerging AI/ML techniques and propose their application to business problems. 10. Participate in code reviews and adhere to best practices for data governance. Tech Stack: Python, SQL, Pandas, NumPy, Tableau/Power BI, Git, AWS (S3, Glue), Airflow, Snowflake, Machine Learning libraries (scikit‑learn). Growth Path: Successful analysts can progress to Senior Analyst, Data Engineer, or Business Analyst roles, and eventually to Data Science or Management positions, benefitting from Barclays’ internal mobility programs and leadership training. Why Join Barclays? The firm offers a competitive salary range, exposure to global banking data, a collaborative environment, and a clear roadmap for career advancement. Freshers receive mentorship from seasoned professionals and access to a wealth of learning resources, making it an ideal platform to launch a thriving analytics career.