{"id":1474918,"url":"https://alion.io/job/trinity-senior-business-analyst","title":"Senior Business Analyst","company":{"id":1874379,"name":"Trinity","domain":"trinitylifesciences.com","url":"https://alion.io/company/trinitylifesciences","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":23,"ghost_share":0,"stale_share":0.304,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Chennai, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-03-23T00:00:00Z","employer_posted_date":"2026-03-23","last_verified_at":"2026-10-09T02:53:42Z","board_verified":true,"closed_at":null,"days_open":200,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":199},"description":"We're committed to bringing passion and customer focus to the business.\nRoles & Responsibilities:\nDrive high-impact insights through rigorous analysis and visualization of large, complex, and multi-source datasets\nLead the structuring of ambiguous business questions into clear, hypothesis-driven analytical problems, defining business rules, process flows, and end-to-end methodologies\nApply advanced statistical and analytical techniques to test hypotheses, quantify impact, and support strategic decision-making\nOwn data preparation and analytical rigor, including data wrangling, quality assurance, triangulation across sources, and validation of results\nTake full accountability for delivery of ad-hoc and recurring analytical workstreams, managing timelines, dependencies, and quality independently\nSynthesize complex analyses into sharp, insight-led narratives and executive-ready deliverables with clear implications and recommendations\nAct as a thought partner to senior team members during client engagements by developing analyses, exhibits, and defensible storylines that influence client decisions\nRequirements:\n2+ years of professional experience in Sales/Field analytics or Health Equity\nMust be well versed withMS Excel, Word and PowerPoint\nTechnically:\nMust - 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