Business Analyst

Overview

Lead Business Analyst/Principal Business Analyst is an individual contributor role within the Data, Analytics and AI function of Northern Trust's Global Capability Center in India. The role bridges Product Managers, technology teams, data consumers and business stakeholders to define, deliver and enhance strategic data products.

What you'll do

• 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 functional requirements, user stories, business rules and acceptance criteria.
• Facilitate alignment between Business teams, Product Owners, Data Role holders, Data Scientists, Engineering and 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 Management, Asset Management and Asset Servicing business units and enterprise functions such as Risk, Procurement, Finance and Compliance.
• Work with technology delivery teams to share problem statements, business opportunities, desired outcomes and functional and 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, completeness and accuracy against business expectations and ensure compliance with policies.
• Drive root-cause analysis for data discrepancies and production issues.

What you'll need

• Excellent oral and written communication skills.
• Extensive exposure to building, owning and operating data products in a Financial Services context, including bridging the gap between technology change delivery and business users.
• In-depth data governance and data management knowledge.
• Highly flexible and adaptable to change.
• Strong hands-on SQL expertise.
• Ability to work in a fast-paced, dynamic environment with limited direction.
• Applies understanding of the business and how own area integrates with others to achieve departmental objectives.
• Guides and influences others, internally or externally, to adopt a different point of view.
• Graduate from IIT/IIM or Tier 1 institutes along with 6-10 years of professional experience, including a minimum of 6 years of hands-on experience in business/data analysis.
• Strong industry, client or business exposure in at least one of Investment/Asset Management, Capital Markets, Investment Banking or Wealth Management.

Nice to have

• Experience with modern data and analytics platforms such as Databricks and Snowflake.
• Hands-on experience in semantic modeling, including defining business-friendly metrics, dimensions and semantic layers that enable consistent reporting, self-service analytics and AI-driven data consumption.
• Experience using AI tools.
• Prior experience delivering data products in a premier financial institution.

Details

• Location: Pune, India.
• Eligibility for internal partners: 3 years as a Team Leader to move to Section Manager (Officer level); 24 months as a Consultant to move to Senior Consultant. Movement within Senior Consultant and Section Manager requires prior 36 months of people management experience.