{"id":1606842,"url":"https://alion.io/job/pivotree-senior-business-analyst","title":"Senior Business Analyst","company":{"id":58135,"name":"Pivotree","domain":"pivotree.com","url":"https://alion.io/company/pivotree","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"C","score":64,"open_postings":10,"ghost_share":0.6,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure DevOps","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hallucination","optional":false},{"name":"Jira","optional":false},{"name":"Master Data Management","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Azure","optional":true},{"name":"BigQuery","optional":true},{"name":"GDPR","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Informatica","optional":true},{"name":"LLM","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-08-16T18:30:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-19T05:24:13Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":63},"description":"The RoleAs a market leader in PIM/MDM solutions, Pivotree implements enterprise master data platforms (Stibo STEP,Syndigo, Akeneo, and cloud-native solutions) for Fortune 500 and mid-market clients. This is a hands-on rolebridging business requirements, technical design, and data strategy—owning discovery, requirementsdocumentation, data architecture, and platform configuration. You'll work as a co-equal lead alongside anonshore BA, with full ownership of your workstreams.You're expected to master new MDM platforms quickly, think critically about requirements, and leverage AItooling (GenAI, data quality automation) to accelerate work while maintaining rigor in data governance. Timesplit: ~40% discovery/requirements, ~40% technical design/data work, ~20% UAT/validation/handover.What Youll Do\nRun client workshops and translate business requirements into structured, testable user stories—usingGenAI tools to draft and iterate, then validate critically\nFlag scope risks early and recommend realistic alternatives when constraints (timeline, budget, dataquality) conflict with original asks\nProfile and audit legacy data; inventory data sources, identify quality issues, design transformations forthe target platform\nDesign and implement data governance and quality rules: stewardship models, hierarchy design,attribute governance, master data lifecycle\nOwn data migrations end-to-end: approach, mapping, ETL runbooks, cutover validation, and rollbackprocedures\nMaintain requirements traceability matrix (RTM) and manage scope changes through formal changecontrol\nWrite and execute UAT test scripts; leverage AI-assisted test generation where appropriate, validateresults, manage defects to sign-off\nDemo completed features and stories; communicate technical constraints and trade-offs in businessterms\nAuthor system documentation and train client teams on MDM platform capabilities and governanceprocesses\nFacilitate stakeholder workshops; manage expectations across business, IT, data governance, andvendor teams\nBecome the team expert on the assigned MDM platform; rapidly learn and apply new features andvendor releases\nManage vendor escalations and adapt to Agile sprint ceremonies\nMust-Have SkillsMDM & Data Experience:\n7–10+ years in business analysis, requirements gathering, or data strategy for MDM, PIM, dataintegration, or enterprise information management projects\n4+ years implementing enterprise MDM platforms (Stibo STEP, Syndigo, Akeneo, Talend, or tier-1equivalents). Demonstrates rapid learning of new platforms; understands MDM principles regardless ofvendor.\nHands-on experience with core MDM concepts: hierarchies, attribute management, data quality rules,workflows, integration patterns, and stewardship models\nProven track record architecting and executing data migrations: legacy profiling, ETL design, mapping,transformation logic, validation, cutover risk management\nDeep knowledge of MDM best practices: master data governance, data stewardship lifecycle, operatingmodel designTechnical & Analytical Skills:\nExcel mastery: mapping matrices, data profiling, pivot tables, validation rules, VLOOKUP/INDEX-MATCH\nAbility to read and interpret SQL queries; comfortable with technical teams on data extracts and ETLlogic\nVisio, Lucidchart, or similar tools for data flow diagrams and system architecture\nExperience authoring RTMs, functional specifications, and UAT scripts with clear acceptance criteria\nComfortable using GenAI tools (ChatGPT, Claude) to draft and iterate on requirements anddocumentation; critically validates AI-generated output\nRecognizes where AI-powered data quality or profiling tools improve efficiency and understands theirlimitations (hallucination, data privacy)Communication & Problem-Solving:\nExcellent written and verbal communication; explains complex data concepts and constraints tobusiness and technical audiences\nExecutive presence and strong facilitation skills; comfortable presenting to senior stakeholders andmanaging pushback\nCritical thinker: challenges faulty assumptions, recognizes anti-patterns (e.g., storing derived data asmaster), advocates for governance over band-aids\nResilient and independent: operates effectively in matrix environments without direct supervision;comfortable working async across EST overlap hours (9 PM–12 AM India time)\nScrum/SAFe certification or equivalent Agile fluency; familiar with Jira or Azure DevOps\nGood-to-Have Skills\nHands-on experience with 2+ MDM platforms (Stibo STEP, Syndigo, Akeneo, Talend, SAP MDG,Informatica)\nPost-go-live support experience: run-books, troubleshooting, mentoring client teams, defining L1/2support\nExperience designing data stewardship/governance operating models or change management programs\nExposure to enterprise data platforms: data lakes, cloud warehouses (Snowflake, BigQuery), or MDaaS\nFamiliarity with prompt engineering, LLM-assisted documentation, or AI governance in data contexts\nUnderstanding of regulatory/audit requirements (GDPR, data lineage, consent management)This job description describes essential functions and minimum requirements. The employee may be asked toperform related duties not listed here. 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