Business Analyst
Northern Trust
- Location
- Pune, India
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 27 approvals (FY2023)
- Posted
- 16h ago
About this role
About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. Job Profile Summary Lead Business Analyst/Principal Business Analyst is an exciting business focused Individual Contributor role, part of the critical Data, Analytics and AI function being built grounds-up within India as part of Global Capability Center (GCC) for Data & Analytics Office. This role serves as the critical bridge between Product Managers, technology teams, data consumers, and business stakeholders to define, deliver, and continuously enhance strategic data products. The ideal candidate combines deep business analysis expertise with strong data analysis capabilities and possesses a thorough understanding of Asset/Wealth Management business processes, client journeys, investment products, and data-driven decision-making.
Job Description
The individual will lead business discovery, requirement gathering, data analysis, process flow analysis and product delivery activities while ensuring alignment with business objectives, data governance standards, and product roadmaps. Success in this role requires a combination of strong business analysis expertise, hands-on data analysis capabilities, stakeholder management skills, and deep understanding of financial products. This position serves as a critical contributor within Data & Analytics Office and successful BAs in this team are expected to grow into Data Product Managers/Owners. Prior experience delivering data products in premier financial institution and academic qualifications from institutions such as IIT or IIM. Roles/Responsibilities Lead discovery workshops with business stakeholders and data consumers to understand strategic objectives, operational challenges, and data requirements. Elicit, analyze, document, and prioritize business requirements for enterprise data products. Translate business needs into detailed functional requirements, user stories, business rules, and acceptance criteria. Facilitate alignment between Business teams, Product Owners, Data Role holders, Data Scientists, Engineering teams & Architecture to deliver reusable, AI-ready data products. Challenge assumptions and identify opportunities for process simplification, automation, and data-driven decision-making. Support data vision and roadmap development through business insights and stakeholder engagement across Wealth Mgmt, Asset Mgmt & Asset Servicing BUs as well as enterprise functions like Risk, Procurement, Finance & Compliance etc. Work with technology delivery teams to share problem statement/business opportunity, desired outcomes and the functional & non-functional requirements for data products. Actively participate in user acceptance testing and sign-off for go live. Perform detailed analysis of complex datasets to identify trends, anomalies, business opportunities, and data quality issues. Analyze source-to-target data flows across multiple systems. Develop data mappings, transformation logic, business rules, and metric definitions. Support creation of semantic models, business glossaries, KPI definitions, and data product documentation. Partner with Data Owners and Data Stewards to define business terms, rules, and quality expectations. Support data lineage, metadata, and governance initiatives. Validate data quality,