Decision Analyst

Barclays’ interview process usually starts with an online aptitude test focusing on quantitative, logical, and verbal reasoning. Successful candidates move to a technical interview where they solve Python/SQL problems and discuss a case study related to decision analytics. The final HR round assesses cultural fit, communication skills, and motivation. Preparation should include data‑analysis case practice and clear storytelling of past projects.

Barclays promotes a collaborative and inclusive work culture where employees are encouraged to innovate and grow. The bank offers structured learning pathways, mentorship programs, and a healthy work‑life balance with flexible hybrid arrangements.

Graduates (B.Tech/B.E., B.Sc, B.Com, or equivalent) from any stream with a minimum of 60% aggregate (or CGPA 6.5/10). Must belong to the 2026 batch. No active backlogs at the time of joining. Strong analytical mindset, good communication skills, and willingness to work in a collaborative environment are essential.

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview (Python, SQL, case study) → Round 3: HR interview (fit & culture) → Final Offer

Barclays is a global financial services powerhouse with a heritage spanning over three centuries. In India, the bank has built a strong presence across retail, corporate, and investment banking, offering innovative solutions to millions of customers. The firm prides itself on a culture of inclusion, integrity, and excellence, encouraging employees to challenge the status quo and drive meaningful change. With a focus on digital transformation, Barclays continuously invests in technology and data to stay ahead in a rapidly evolving financial landscape. The Decision Analyst role sits within the Decision Intelligence team, a high‑impact group that leverages advanced analytics, data science, and strategic thinking to solve complex business problems. As a Decision Analyst, you will be at the forefront of turning raw data into actionable insights that shape product strategy, improve customer experience, and enhance operational efficiency. You will work closely with senior stakeholders, cross‑functional teams, and technology partners to design, build, and operationalise decision models that drive measurable business outcomes. Key Responsibilities: 1. Identify, extract, and cleanse data from internal and external sources to build robust analytical datasets. 2. Conduct sensitivity analysis, scenario planning, and what‑if simulations to support strategic decision‑making. 3. Develop, validate, and monitor quantitative models that inform product pricing, risk assessment, and customer segmentation. 4. Implement data‑quality controls and governance processes to ensure reliability of insights. 5. Translate complex analytical findings into clear, data‑driven narratives and executive‑level presentations. 6. Collaborate with product, marketing, risk, and technology teams to embed analytics into day‑to‑day operations. 7. Track benefits realization and provide post‑implementation analysis to measure impact. 8. Mentor junior analysts and contribute to knowledge‑sharing sessions within the team. 9. Stay updated on emerging AI/ML techniques and evaluate their applicability to Barclays’ decision frameworks. 10. Support ad‑hoc business requests with rapid, insight‑focused solutions. Tech Stack: Python (pandas, scikit‑learn), SQL, Tableau, Excel, statistical modelling tools, and exposure to cloud data platforms (AWS/GCP). Familiarity with machine‑learning libraries and version‑control (Git) is advantageous. Growth Path: Starting as a Decision Analyst, high performers can progress to Senior Analyst, Decision Scientist, and eventually to Manager or Lead roles within the Decision Intelligence practice. The role offers exposure to senior leadership, cross‑business projects, and the opportunity to specialize in areas such as risk analytics, customer analytics, or digital strategy. Why Join Barclays? Barclays offers a vibrant, inclusive workplace where fresh talent is nurtured through structured learning programs, mentorship, and global mobility options. Employees benefit from competitive compensation, a clear career ladder, and a culture that values curiosity and continuous improvement. If you are passionate about turning data into strategic advantage and want to be part of a forward‑thinking financial institution, this role provides the perfect launchpad.