Data Analyst

Barclays' interview process typically starts with a timed online aptitude test, followed by a technical interview that probes SQL proficiency, data‑modeling concepts, and real‑world analytics scenarios. The final HR round assesses cultural fit, communication skills, and motivation. Candidates report moderate difficulty, emphasizing clear problem‑solving approaches and domain knowledge.

Barclays promotes a collaborative and inclusive culture where employees are encouraged to share ideas and drive innovation. The firm offers structured learning programs, mentorship, and a healthy work‑life balance, with flexible work arrangements and a focus on employee well‑being.

Graduates of 2026 batch with a B.Tech/B.E., B.Sc., B.Com, MCA or M.Tech in Computer Science, Information Technology, Statistics, Mathematics, Economics or related fields; minimum 60% aggregate (or CGPA 6.5/10); no active backlogs at the time of joining; strong analytical mindset and proficiency in SQL and data‑visualisation tools.

Round 1: Online aptitude test (logical reasoning, quantitative, data interpretation) → Round 2: Technical interview (SQL, data modelling, analytics case study) → Round 3: HR interview (fitment, motivation, cultural alignment)

Barclays is a global financial services powerhouse with a presence in over 40 countries, offering banking, credit cards, wealth management, and investment solutions. In India, Barclays has been expanding its digital footprint, focusing on innovative data‑driven products that enhance customer experience and operational efficiency. The company prides itself on a culture of inclusion, continuous learning, and a commitment to ethical banking, making it an attractive destination for fresh talent eager to make an impact in the financial sector. The Data Analyst role at Barclays, based in Bengaluru, is a pivotal position within the Customer Digital and Data business area. As a member of the Data & Analytics team, you will support location strategy projects, ensuring they are delivered on time, within budget, and to the highest quality standards. You will work closely with cross‑functional teams to design, build, and automate data pipelines, develop advanced analytical models, and translate complex data insights into clear, actionable business recommendations. This role offers exposure to cutting‑edge technologies such as Snowflake, AWS, Databricks, Hadoop, and big‑data visualization tools, providing a solid foundation for a career in data analytics within the BFSI domain. Key responsibilities include: 1) Investigating and analysing data quality issues, documenting sources and lineage, and recommending improvements; 2) Designing and building automated data pipelines for seamless data movement; 3) Applying advanced statistical and machine‑learning techniques to uncover trends and correlations; 4) Developing validated logical data models that support business decision‑making; 5) Translating analytical findings into actionable recommendations that drive operational efficiencies; 6) Creating interactive dashboards and visual reports using tools such as Tableau or PowerBI; 7) Automating regular and ad‑hoc reporting processes for stakeholders; 8) Collaborating with regulatory teams to ensure compliance and accurate delivery of mandated reports; 9) Mentoring junior analysts and contributing to knowledge‑sharing sessions; and 10) Continuously monitoring and enhancing data governance, risk, and control frameworks. The tech stack for this role includes Advanced SQL, Snowflake, AWS, Databricks, Hadoop, Hue, Python/R for statistical analysis, and data‑visualisation platforms. Barclays offers a clear growth path: analysts can progress to senior analyst, data‑engineer, and eventually to leadership roles such as Assistant Vice President or Data Product Manager, depending on performance and skill development. Joining Barclays means becoming part of a forward‑thinking organization that values innovation, provides robust training programs, and encourages employees to take ownership of their career trajectories while enjoying a supportive, inclusive work environment.