Data Analyst

Barclays’ interview process typically begins with a timed online aptitude test focusing on quantitative, logical, and data‑interpretation questions. Successful candidates move to a technical interview where they solve SQL queries, discuss Python data‑manipulation tasks, and present a mini‑case study. The final HR round evaluates cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation of fundamentals and clear articulation of analytical thinking are key.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (SQL/Python & Case Study) → Round 3: HR Interview (fitment, motivation, cultural fit)

Barclays promotes a collaborative and inclusive work environment where employees are encouraged to share ideas and take ownership of projects. The bank offers structured learning pathways, mentorship programs, and a healthy work‑life balance, making it a conducive place for fresh graduates to grow.

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 global financial services powerhouse with a legacy spanning over three centuries. In India, the bank has built a strong presence across retail banking, corporate banking, and wealth management, offering innovative solutions to millions of customers. The organization prides itself on a culture of inclusion, continuous learning, and a commitment to sustainability, making it an attractive destination for fresh talent eager to make an impact in the financial sector. As a Data Analyst in the Digital, Data & Analytics business area, you will be part of a high‑performing team that transforms raw data into actionable insights for business decision‑making. You will work closely with product managers, engineers, and senior analysts to design, develop, and maintain analytical solutions that drive performance across Barclays’ digital platforms. This role offers exposure to cutting‑edge analytics tools, a collaborative environment, and a clear growth trajectory toward senior analytical and data‑science positions. Key Responsibilities: 1. Collect, clean, and validate large data sets from multiple internal and external sources. 2. Develop and maintain dashboards and visualisations using tools such as Tableau, Power BI, or Looker. 3. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 4. Build statistical models and predictive algorithms to support business initiatives. 5. Generate regular and ad‑hoc reports for stakeholders across functions. 6. Collaborate with data engineers to design efficient data pipelines and storage solutions. 7. Conduct A/B testing and experiment analysis to evaluate product changes. 8. Document analytical methodologies, findings, and recommendations clearly. 9. Stay updated with emerging analytics techniques and propose innovative solutions. 10. Ensure data governance, security, and compliance standards are adhered to. Tech Stack: SQL, Python (pandas, numpy, scikit‑learn), R, Tableau/Power BI, Excel, Git, AWS Redshift or Snowflake, JIRA. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Data Scientist, Analytics Manager, and eventually to leadership roles such as Head of Analytics or Chief Data Officer, depending on performance and skill development. Why Join Barclays? You will gain exposure to a global banking ecosystem, work on real‑world financial data, and receive mentorship from seasoned professionals. The bank invests heavily in employee development through structured training programs, certifications, and a vibrant internal community. Moreover, Barclays offers competitive compensation, flexible work arrangements, and a supportive culture that values diversity and innovation.