Data Analyst

Barclays typically conducts a three‑round interview process: an online aptitude test, a technical interview focusing on coding, SQL, and analytics, followed by an HR interview. The technical round is moderately challenging, with questions on data modeling, statistical concepts, and problem‑solving. Candidates are advised to practice coding on platforms like LeetCode and review case studies related to data analytics.

Round 1: Online aptitude and technical test → Round 2: Technical interview (coding, SQL, analytics) → Round 3: HR interview

Barclays fosters an inclusive, collaborative environment that encourages innovation and continuous learning. Employees enjoy a healthy work‑life balance, flexible work arrangements, and opportunities for global exposure and career growth.

Bachelor’s degree in Computer Science, Engineering, IT, Statistics, Mathematics, or related field. Minimum 60% or 6.5 CGPA. No backlogs. Eligible for graduates from 2025, 2026, or 2027 batches.

Barclays, a global financial services leader, has a strong presence in India with a focus on innovation, technology, and customer-centric solutions. The company operates across retail, corporate, and investment banking, providing a dynamic environment where data drives decision‑making and strategic growth. With a commitment to diversity, inclusion, and continuous learning, Barclays offers employees a platform to build careers that span across multiple domains and geographies. The Data Analyst role in Gurugram is designed for fresh graduates who are passionate about turning raw data into actionable insights. As a Data Analyst, you will collaborate with cross‑functional teams—including product managers, data engineers, and business stakeholders—to design, build, and maintain analytical solutions that influence product strategy and operational efficiency. Your work will involve extracting data from disparate sources, cleaning and transforming it, and applying statistical and machine learning techniques to uncover trends, patterns, and causal relationships. Key responsibilities include: 1. Designing and developing data pipelines to automate data ingestion and processing. 2. Performing exploratory data analysis to identify data quality issues, lineage, and control gaps. 3. Building predictive models and simulations to forecast customer behavior and business outcomes. 4. Creating interactive dashboards and visual reports using tools such as Tableau, Power BI, or Power Platform. 5. Collaborating with technical teams to integrate analytical models into production systems. 6. Documenting data sources, methodologies, and findings with clear recommendations. 7. Supporting ad‑hoc analytical requests from business units. 8. Staying updated on emerging analytics technologies, automation, and AI tools. 9. Ensuring compliance with data governance, security, and regulatory requirements. 10. Mentoring junior analysts and contributing to knowledge sharing initiatives. Tech stack: SQL, Python (pandas, scikit‑learn), R (optional), Tableau, Power BI, Power Platform (Power Automate, Power Apps), Excel, Git, and basic knowledge of cloud services (AWS/GCP/Azure). Growth path: Starting as a Data Analyst, you can progress to Senior Analyst, Data Scientist, Analytics Lead, or Product Owner roles. Barclays encourages internal mobility, continuous learning, and certifications, enabling you to advance into leadership or specialized technical tracks. Why join Barclays? The company offers competitive compensation, a collaborative culture that values innovation, and ample opportunities for professional development. You’ll work on high‑impact projects that shape the future of banking, gain exposure to cutting‑edge technologies, and build a global network of peers. Overall, this role provides a solid foundation for a career in data analytics, blending technical rigor with business acumen in a supportive, forward‑thinking environment.