EXL

Analyzes business data and runs outsourced operations

Assistant Manager

Business AnalysisConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

Graduate in Computer Science, Data Science, or a related field.
Have 2–3 years of experience in data engineering or a related field.
Use discovery workshops, user stories, epics, acceptance criteria, non-functional requirements, and prioritization support.
Apply as-is/to-be process design, Visio, service blueprints, controls, and handoffs.
Understand data lineage, field mapping, event flows, and basic SQL where relevant.
Support backlog refinement, sprints, user acceptance testing planning and execution, triage, and defect management.
Influence stakeholders across Product, Tech, Ops, and Compliance/Risk, and communicate clearly in writing.
Maintain traceability, perform change impact assessment, manage RAID, and practice disciplined documentation.
Work with Jira/Confluence, Visio, Excel, basic-to-intermediate SQL, and Agile/Scrum/Kanban methods.

Responsibilities

Produce problem statements, scope, assumptions, and success measures.
Define epics/features, user stories, and acceptance criteria.
Create as-is/to-be process maps and customer journeys.
Prepare data dictionaries, mapping specifications, and interface requirements.
Develop a UAT approach and test scenarios, and prepare a sign-off pack.

Desired Qualifications

Experience in regulated environments, including risk, audit, and controls-by-design.
Familiarity with cloud patterns, microservices, and event-driven architecture at a high level.
Ability to simplify complex stakeholder needs into an MVP and phased roadmap.

Core strengths / capabilities

Requirements & analysis: discovery workshops, user stories, epics, acceptance criteria, NFRs, prioritization support
Process & operational design: as-is/to-be, Visio, service blueprints, controls and handoffs
Data & integration awareness: data lineage, field mapping, event flows, basic SQL (where relevant)
Delivery support: backlog refinement, sprint support, UAT planning/execution, triage, defect management
Stakeholder management: influencing across Product, Tech, Ops, Compliance/Risk; clear written comms
Quality & governance: traceability, change impact assessment, RAID management, documentation discipline

Graduate in Computer Science, Data Science, or related field. 2-3 years of experience in data engineering or related field.

Typical deliverables

Problem statement, scope, assumptions, success measures
Epics/features, user stories, acceptance criteria
Process maps (as-is/to-be), customer journeys
Data dictionary, mapping specs, interface requirements
UAT approach, test scenarios, sign-off pack

Tools/ways of working (examples)

Jira/Confluence, Visio, Excel, SQL (basic–intermediate), Agile/Scrum/Kanban.

Nice “differentiators” (optional)

Experience in regulated environments (risk, audit, controls-by-design)
Familiarity with cloud patterns, microservices, event-driven architecture (high-level)
Ability to simplify complex stakeholder needs into an MVP and phased roadmap

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

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