Garima Yadav

Senior business analyst with nearly 5 years across BFSI, capital markets and enterprise platforms, working at the seam of business and technology. Translates business needs into BRDs, FRDs, user stories and acceptance criteria, then validates delivery hands on with SQL, REST API and ETL data validation. Builds BI dashboards and data analysis for reporting and reconciliation, applies AI assisted workflows (ChatGPT, GitHub Copilot, N8N) to speed documentation and investigation, owning BA deliverables end to end and leading analysts and stakeholders from discovery to sign off.

Immediate

Joiner.

Consultant, Business Analysis at Deloitte USI (2025-09 – Present)

FNZ Wealth Platform, Aviva

• Led discovery and senior stakeholder engagement across business, operations and technology teams on the With Profits, Money Out and QHub API workstreams, converting business needs into user stories, acceptance criteria, functional specifications and process flows.
• Contributed to backlog refinement and Agile ceremonies with product owners and the delivery team, clarifying requirements and acceptance criteria to keep stories ready for build across sprints.
• Owned SIT and UAT, defining test scenarios and running end to end and REST API integration validation against downstream and third party systems while validating data flows, field mappings, error handling and business rules across customer, account, policy and transaction data.
• Reconciled data across systems with SQL for data quality validation, triaged defects in Jira and coordinated fixes with engineering, closing 18 critical UAT defects in three days, cutting defect recurrence by 25% and reducing processing exceptions by 30% across production releases.

Systems Engineer at Tata Consultancy Services (2025-03 – 2025-08)

Morgan Stanley Institutional Wealth

• Gathered and validated requirements for regulatory reporting under EMIR and MiFID II, tracing data from the source system through processing into the reporting layer and confirming business rules, data consistency and field mappings.
• Ran SIT and UAT with SQL reconciliation of source against reported output, managing defects in Jira and verifying fixes through revalidation with developers and business stakeholders.
• Traced data mismatches surfaced during reconciliation to their source with developers and business stakeholders, then verified the corrected output through revalidation before sign off.

Analyst at Accenture (2021-12 – 2025-02)

New Look SAP Commerce Cloud Migration

• Owned data mapping and validation standards for a 400+ store commerce platform migration, covering field mapping, data quality validation and reconciliation through to business acceptance.
• Authored the global data dictionary used as the single source of truth for field level mapping and documentation, and led the analyst team through discovery, mapping and cutover.
• Defined acceptance criteria and UAT scenarios from mapping requirements, managing defects through to closure and business acceptance across a controlled cutover.
• Facilitated discovery sessions with business and technology stakeholders, documenting current and future state process flows that shaped migration scope.

B.Tech in Electrical and Electronics Engineering – KIET Ghaziabad (2017 – 2021)