Data Analyst

UBS typically conducts a three‑stage interview process. The first stage is an online aptitude and coding test lasting 60‑90 minutes. The second stage involves a technical interview focusing on SQL, Python, data modeling, and basic finance concepts. The final HR round assesses cultural fit, communication skills, and motivation. Preparation should include mock tests, data‑analysis case studies, and clear articulation of past projects.

UBS fosters a collaborative and inclusive culture where employees are encouraged to share ideas and drive innovation. The firm offers structured career development programs, mentorship, and a balanced work‑life environment supported by flexible working options.

Graduates (2024‑2026) with a B.Tech/B.E. in Computer Science, Information Technology, Electronics, or a B.Sc. in Statistics, Mathematics, Economics. Minimum 60% aggregate in graduation. No active backlogs. Freshers only; campus placements welcome.

Round 1: Online Aptitude Test (Logical Reasoning, Quantitative) + Coding Assessment → Round 2: Technical Interview (SQL, Python, Data Modeling, Financial Concepts) → Round 3: HR Interview (fit, motivation, cultural alignment)

UBS is one of the world’s largest and most respected financial services firms, headquartered in Zurich, Switzerland. With a presence in over 50 markets, UBS offers a comprehensive suite of wealth management, investment banking, and asset management services. The firm is known for its strong culture of collaboration, innovation, and a client‑first mindset, which has helped it maintain a leading position in the global banking landscape. In India, UBS has been expanding its footprint, especially in technology‑driven roles that support its Asset Management division. The Data Analyst role in Pune sits within the Asset Management Data Services team, a critical function that ensures the delivery of accurate security reference, price, and benchmark data to internal stakeholders worldwide. As a fresher, you will be mentored by senior data professionals and will get hands‑on exposure to the end‑to‑end data lifecycle in a high‑impact financial environment. This position offers a unique blend of business understanding, technical execution, and process improvement opportunities. Key Responsibilities: 1. Oversee day‑to‑day BAU delivery across multiple data teams ensuring operational stability. 2. Drive continuous process improvements to enhance data quality and turnaround time. 3. Act as the primary escalation point for data and process issues with internal and external stakeholders. 4. Track, report, and mitigate risks, including NFRI and KPI deviations. 5. Lead and coordinate multiple data‑related projects and initiatives. 6. Collaborate with IT, data providers, and global teams to design and implement data solutions. 7. Identify automation opportunities to reduce manual effort and improve efficiency. 8. Contribute subject‑matter expertise to division‑wide data and business initiatives. 9. Proactively resolve potential problems before they impact delivery. 10. Maintain comprehensive documentation and ensure compliance with governance standards. Tech Stack: SQL, Python (pandas, numpy), Excel/PowerPivot, Tableau/Power BI, data‑quality tools, basic knowledge of financial instruments and market data feeds. Growth Path: Starting as a Data Analyst, high performers can progress to Data Services Lead, then to Senior Manager – Data Governance, and eventually to Director – Asset Management Data Strategy. The role provides exposure to global teams, paving the way for international assignments. Why Join UBS? You will work in a globally recognized financial institution that invests heavily in technology and talent. The role offers a fast‑track learning curve, mentorship from industry experts, and the chance to impact real‑world investment decisions. UBS also promotes a flexible work environment, robust learning programs, and a culture that values diversity and inclusion.