Posted 24 July, 2026
AM Transformation Business Analyst
UBS - Experienced professionals - job boards
Pune,India,India
Full Time
Reference: 36_482883_347341
Are you passionate about transforming data into a true asset that drives innovation and growth? Do you have the expertise and vision to help shape the future of data management for a leading global asset manager? Does working at the intersection of data, technology, and business interest you ?
We're looking for a Business Analyst to work on the initiatives of the Data Foundation within the AM Chief Data office. In this role your high-level responsibilities will be:
Business Analysis: Collaborate with key stakeholders across UBS Asset Management to analyze business requirements and translate them into structured specifications and user stories.
As-Is Process & Data Flow Analysis: Conduct comprehensive assessments of current data flows, processes, and systems.
Target Operating Model & Data Architecture Design: Work closely with data SMEs and architects to develop the target operating model and data architecture.
Data Analytics & Insights: Leverage data analytics to identify patterns, trends, and anomalies in data to improve data quality.
Documentation & User Support: Ensure all data systems and processes are well-documented, including process flows and drive user acceptance testing.
Consumer onboarding : Analyze consumer data usage patterns and lead onboarding initiatives, ensuring seamless transitions to new platforms.
We're looking for a Business Analyst to work on the initiatives of the Data Foundation within the AM Chief Data office. In this role your high-level responsibilities will be:
Business Analysis: Collaborate with key stakeholders across UBS Asset Management to analyze business requirements and translate them into structured specifications and user stories.
As-Is Process & Data Flow Analysis: Conduct comprehensive assessments of current data flows, processes, and systems.
Target Operating Model & Data Architecture Design: Work closely with data SMEs and architects to develop the target operating model and data architecture.
Data Analytics & Insights: Leverage data analytics to identify patterns, trends, and anomalies in data to improve data quality.
Documentation & User Support: Ensure all data systems and processes are well-documented, including process flows and drive user acceptance testing.
Consumer onboarding : Analyze consumer data usage patterns and lead onboarding initiatives, ensuring seamless transitions to new platforms.
