Data Analyst

The UBS interview process usually begins with a timed online aptitude test followed by a technical interview focused on SQL, data manipulation, and analytical case studies. A final HR round assesses cultural fit and communication skills. Candidates report a moderate difficulty level and recommend practicing data‑centric coding questions and reviewing basic finance concepts.

UBS promotes a collaborative, inclusive culture where employees are encouraged to share ideas and take ownership of projects. The firm offers structured learning programs, global mobility options, and a balanced work‑life environment that supports personal growth.

Graduates (B.Tech/B.E., B.Sc., B.Com, BBA, or equivalent) in Computer Science, Information Technology, Statistics, Finance, Economics or related fields; minimum 60% aggregate (or CGPA 6.0/10); batch years 2023‑2025; no active backlogs at the time of joining; strong analytical mindset and good communication skills.

Round 1: Online Aptitude Test → Round 2: Technical Interview (data concepts, SQL/Python, case study) → Round 3: HR Interview (fit and behavioral assessment)

UBS is one of the world’s largest and most respected wealth managers and a leading universal bank headquartered in Zurich, Switzerland. With a presence in over 50 markets, UBS offers a broad range of financial services, including investment banking, asset management, and retail banking. In India, UBS has built a strong foothold through its focus on technology‑driven solutions, client‑centric culture, and commitment to sustainable investing. The firm consistently ranks high on employee satisfaction surveys for its inclusive environment, learning opportunities, and global exposure. The Asset Management Data Services team at UBS Pune sits at the intersection of business and technology, delivering high‑quality security reference, price, analytics, index, and benchmark data to the broader Asset Management division. The team operates 24 × 6, supporting stakeholders across continents from Chicago to Singapore. As a Data Analyst, you will be part of this high‑impact unit, ensuring that data pipelines run smoothly, escalations are resolved promptly, and continuous improvements are embedded into daily operations. **Role Summary** You will lead BAU delivery across multiple data services teams, act as the primary escalation point for data quality and process issues, and coordinate with IT, data providers, and global stakeholders to implement robust data solutions. The role blends operational oversight with project leadership, giving you a platform to influence data governance, automation, and risk management across the asset management lifecycle. **Key Responsibilities** 1. Oversee day‑to‑day BAU operations, ensuring data feeds are accurate, timely, and meet service level agreements. 2. Drive process improvement initiatives to enhance efficiency and reduce manual effort. 3. Serve as the escalation owner for data and process issues, liaising with stakeholders to resolve them swiftly. 4. Track, report, and mitigate risks, including non‑functional requirements and key performance indicators. 5. Lead multiple cross‑functional projects, from requirement gathering to delivery and post‑implementation support. 6. Coordinate with IT, external data vendors, and global teams to design and implement data solutions. 7. Identify automation opportunities using scripting, RPA, or AI‑based tools. 8. Contribute subject‑matter expertise to division‑wide data and business initiatives. 9. Proactively monitor potential problems, applying preventive measures before they impact operations. 10. Ensure compliance with UBS policies, risk standards, and ethical AI guidelines. **Tech Stack**: SQL, Python/R, Excel/VBA, Tableau/Power BI, Snowflake, APIs, Git, Linux/Unix, basic knowledge of AI/ML concepts for workflow automation. **Growth Path**: Starting as a Data Analyst, you can progress to Senior Analyst, Data Services Lead, and eventually to Manager or Director of Data Operations, with opportunities to move into data engineering, analytics, or product ownership roles across UBS’s global network. **Why Join UBS**: You will work in a globally recognized financial institution that values innovation, diversity, and continuous learning. The role offers exposure to cutting‑edge data technologies, cross‑regional collaboration, and a clear career trajectory, making it an ideal launchpad for ambitious fresh graduates.