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Open nowPosted 17 days ago

Business Analyst

Techdome25 open roles

Where
Hyderabad
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Your applicationOpen nowBusiness AnalystTechdome · Hyderabad

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 17 days ago

The posting

Role summary: The Business Analyst turns business intent into clear, testable requirements for AI and data products, and keeps the backlog, stakeholders, and validation aligned from discovery through UAT.

Experience: 4 to 6 years in business analysis, with at least 2 years on data, analytics, or AI/ML product delivery.

Key responsibilities

  • Lead discovery workshops to capture current-state processes, pain points, personas, and use case priorities.
  • Write Business and Functional Requirement Documents (BRD/FRD), user stories, and acceptance criteria.
  • Own backlog refinement with the Product Owner; prioritize work by business value and data readiness.
  • Map end-to-end workflows, including approval, review, intake, and escalation flows across functions.
  • Define business rules, thresholds, scoring logic, severity levels, and KPIs with SMEs.
  • Facilitate configuration sessions and translate decisions into build specifications for engineers.
  • Maintain traceability from requirements to build, test cases, and deliverables.
  • Plan and support UAT: test scenarios, business validation of AI outputs, defect triage, and sign-off.
  • Contribute to the RAID log, decision log, status reports, and change-control assessments.
  • Produce user playbooks, process documentation, and handover materials.

Required skills

  • Strong requirements elicitation, process modeling (BPMN or similar), and gap analysis.
  • Agile delivery with Jira, Azure DevOps, or similar tools; comfortable working in two-week sprints.
  • Working SQL and data literacy: can read schemas, metadata, and data profiles to validate requirements.
  • Ability to define acceptance criteria for AI features, such as accuracy, confidence, and evidence needs.
  • Clear written and verbal communication with business, technical, and executive audiences.
  • Skilled workshop facilitator who can align multiple stakeholders on one requirement set.

Preferred skills

  • Experience with GenAI, LLM, RAG, or agentic AI products, including human-in-the-loop design.
  • Exposure to data governance concepts: metadata, data catalogs, taxonomies, data quality rules, lineage.
  • Domain knowledge in pharma or life sciences (commercial, medical, regulatory, launch, or content review).
  • Familiarity with BI tools (Power BI, Tableau) and dashboard requirement definition.
  • Certification such as CBAP, CCBA, PMI-PBA, or CSPO.
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