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Business Analyst, OSI

Remote / Online - Candidates ideally in
Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: Regenstrief Institute, Inc.
Remote/Work from Home position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Data Security
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Indianapolis

Business Analyst, OSI at Regenstrief Institute, Inc.

The Business Analyst (BA) within the Office of Strategic Innovation (OSI) is an analytic and client-facing role that supports the successful delivery of industry-facing research and data collaborations. This role works across clinical AI, real-world evidence (RWE), and health services research projects to ensure structured problem-solving, high-quality deliverables, and reliable project execution.

OSI partners with investigators, data teams, and external stakeholders to translate ambiguous questions into clear analytic requirements, validate results, and produce partner-ready outputs. This position is ideal for an early-career professional with consulting, analytics, or research coordination experience who thrives in both structured analysis and client-facing collaboration.

This role is preferred to be onsite at least two to three days per week in Indianapolis. Fully remote work may be considered.

Key Responsibilities Structured Project Initiation
  • Facilitate structured problem‑solving sessions with investigators and external partners, transforming questions into clear scopes, requirements, and action plans.
  • Break complex problems into manageable steps and identify decision points.
  • Develop clean, concise slide decks, memos, analytic briefs, and project summaries for stakeholders.
  • Ensure interim deliverables meet partner‑facing quality standards and reflect OSI’s Q‑à‑A Sprint engagement model, with a structured cadence of research team review.
Applied Analytics
  • Support investigators, research scientists, and data teams in clarifying analytic requirements and confirming alignment with project goals.
  • Interpret datasets and analytic results to ensure accuracy, completeness, and readiness for external use.
  • Package data feasibility outputs into partner‑read summaries (counts, completeness, caveats) before investigators review for sign‑off.
  • Synthesize raw analytical results into narratives that highlight insights, implications, and next steps.
Engagement Management
  • Conduct pre‑delivery quality checks of all external‑facing outputs for clarity, narrative coherence, and alignment with OSI brand standards, ahead of review by researchers.
  • Own the end‑to‑end tracking and coordination of all OSI data requests. Maintain a live log that monitors status with appropriate internal checkpoints and escalations.
  • Manage day‑to‑day Q‑à‑A sprint management, including huddles, decision logs, and milestone monitoring.
  • Proactively identify risks or bottlenecks and communicate mitigation plans routinely.
  • Maintain the OSI implementation playbook: ensure consistent application across projects.
Strategic Communication
  • Curate examples of past Q‑à‑A sprints to support communication of OSI’s capabilities.
  • Apply a client‑service mindset that anticipates questions and ensures OSI presents a cohesive voice.
  • Continuously deepen expertise relevant to live and prospective OSI engagements, particularly around clinical applications of AI and real‑world research.
Qualifications
  • Requires a bachelor’s degree in a relevant field (e.g., healthcare, public health, business, analytics, or related discipline).
  • Requires at least four (4) years of experience in a role requiring structured problem‑solving and client‑facing communication—such as management consulting, healthcare analytics, product/operations analysis, or digital health delivery. Experience managing others preferred.
  • Requires working familiarity with one or more OSI domains: clinical AI, healthcare data, or real‑world‑evidence (RWE), or health services/clinical operations.
  • Requires the ability to interpret analytical outputs and assess data completeness, accuracy, and implications. Requires comfort working with data (Excel, reviewing tables/figures); familiarity with SQL or BI preferred.
  • Requires excellent communication skills, including ability to translate technical findings into concise, actionable narratives for diverse research and industry audiences.
  • Requires the ability to work effectively with a diverse set of stakeholders, including investigators, data scientists, and industry partners.
  • Requires a professional presence and comfort engaging with…
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