[Hiring] Senior Business Analyst @Tiger Analytics Inc.

Role Description

We are seeking a Business Analyst to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, you will:

• Lead requirements gathering, analysis, and documentation for system enhancements and upgrades.
• Discovery: Define sub-domain scope and the entity list (business definition, grain, priority). Map business process to source systems; establish system of record per entity.
• With DE leads, scan Databricks / Snowflake catalogues and produce entity → source → dataset mappings with coverage verdicts.
• Drive SME interviews — elicit use cases, capabilities, attribute-level requirements, build Discovery readouts and secure client sign-off.
• Build - Own the BRD/FRD — canonical attribute register with source arbitration, traceable from use case to attribute. Act as functional authority for DEs: business rules, grain, hierarchies, code sets. Review STTMs against signed requirements; assess change requests for scope impact.
• UAT - define test scope and business scenarios traced to requirements, run UAT with business SMEs, triage defects, drive to closure with evidence, secure UAT sign-off; document residual open items and handover material.
• Highly organized, self-motivated, and detail-oriented with the ability to operate in a fast-paced environment.

Qualifications

• 6-10 years of experience as Business Analyst.
• Strong Healthcare Payer domain experience is required.
• UI Path experience is mandatory.
• Should be able to elicit requirements for automation initiatives and convert business requirements into tech specs for Data Engineers/Architects.
• Proven ability to manage and appropriately prioritize multiple, complex responsibilities.
• Strong data analysis skills with SQL, Tableau/ PowerBI.

Benefits

• Medical, Dental, Vision, Retirement Accounts, Long and Short-Term Disability, Life Insurance, HSA/FSA Accounts (USA), and Discretionary time off.
• Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms.