Sr Business Analyst - Healthcare Payer

Tiger Analytics Inc.•Chicago, IL

About The Position

Tiger Analytics is seeking a Business Analyst to join its advanced analytics and AI team, supporting large enterprise clients. The role leads requirements discovery, analysis, documentation, and client sign-off for system enhancements, upgrades, and automation initiatives. It covers defining sub-domain scope and entities, mapping business processes and entities to source systems and datasets, and establishing systems of record. The Business Analyst partners with Data Engineering leads to review Databricks and Snowflake catalogues and produce entity-to-source-to-dataset mappings with coverage assessments. The role also leads SME interviews, captures use cases and attribute-level requirements, and prepares discovery readouts. During build, the Business Analyst owns the BRD/FRD and canonical attribute register, provides functional guidance on business rules and data definitions, reviews source-to-target mappings against approved requirements, and evaluates change requests for scope impact. For UAT, the role defines requirements-traceable test scope and business scenarios, runs testing with business SMEs, triages defects through closure, secures business sign-off, and documents open items and handover materials. The successful candidate is organized, self-motivated, detail-oriented, and able to prioritize complex responsibilities in a fast-paced environment. Strong Healthcare Payer domain experience and UiPath experience are required.

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 convert 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 work 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 sub-domain 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.
Partner with Data Engineering leads to review Databricks and Snowflake catalogues and create 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 obtain client sign-off.
Own the BRD/FRD and canonical attribute register, with traceability from use cases to attributes and source arbitration.
Provide functional direction to 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 traceable to requirements.
Run 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 translate business requirements into technical specifications for Data Engineers and Architects.
Manage and prioritize multiple complex responsibilities.