Sr Business Analyst - UiPath

Tiger Analytics•Chicago, IL

About The Position

Tiger Analytics is seeking a Senior Business Analyst to join its advanced analytics and AI team, supporting large enterprise clients. The role focuses on gathering and documenting requirements for system enhancements and upgrades, defining data discovery scope, and guiding data engineering work from business requirements through user acceptance testing. During discovery, the Business Analyst defines subdomain scope and entity lists, maps business processes to source systems, establishes systems of record, and works with data engineering leads to map entities to sources and datasets. The role also conducts subject matter expert interviews, captures use cases and attribute-level requirements, produces discovery readouts, and obtains client sign-off. During build, the Business Analyst owns the BRD/FRD and canonical attribute register, maintains traceability from use cases to attributes, and serves as the functional authority for business rules, grain, hierarchies, and code sets. The role reviews source-to-target mappings against signed requirements and assesses change requests for scope impact. For UAT, the Business Analyst defines test scope and business scenarios tied to requirements, runs testing with business SMEs, triages defects through closure with evidence, secures sign-off, and documents residual open items and handover materials. The position requires strong Healthcare Payer domain experience and mandatory UiPath experience, including the ability to elicit requirements for automation initiatives and translate them into technical specifications for data engineers and architects.

Requirements

6–10 years of experience as a Business Analyst.
Strong Healthcare Payer domain experience.
UiPath experience is mandatory.
Ability to elicit requirements for automation initiatives and translate business requirements into technical specifications for data engineers and architects.
Strong data analysis skills, including SQL and Tableau or Power BI.
Highly organized, self-motivated, and detail-oriented, with the ability to operate in a fast-paced environment.
Proven ability to manage and appropriately prioritize multiple complex responsibilities.

Responsibilities

Lead requirements gathering, analysis, and documentation for system enhancements and upgrades.
Define subdomain scope and entity lists, including business definitions, grain, and priorities.
Map business processes to source systems and establish the system of record for each entity.
Work with data engineering leads to review Databricks and Snowflake catalogues and produce entity-to-source-to-dataset mappings with coverage verdicts.
Conduct SME interviews to elicit use cases, capabilities, and attribute-level requirements; prepare discovery readouts and secure client sign-off.
Own the BRD/FRD and canonical attribute register, maintaining traceability from use cases to attributes and documenting source arbitration.
Serve as the functional authority for data engineers on business rules, grain, hierarchies, and code sets.
Review source-to-target mappings against signed requirements and assess change requests for scope impact.
Define UAT scope and business scenarios traced to requirements; conduct UAT with business SMEs, triage defects, drive them to closure with evidence, and secure UAT sign-off.
Document residual open items and handover materials.
Elicit requirements for automation initiatives and convert business requirements into technical specifications for data engineers and architects.