Senior BI Analyst (Commercial)

R1

$50K — $114K *
US-Anywhere
+ 4 other locationsRemote
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong communication and storytelling skills to explain findings to non-data audiences
  • Ability to frame problems with first-principles thinking in ambiguous situations
  • Analytical maturity to reason about sampling, bias, and blind spots
  • Comfort and willingness to develop technical skills, including data handling tools
  • Track record of owning projects end to end with a desire to grow into a leadership role

Responsibilities

  • Build and maintain data models that convert raw operational feeds into usable signals
  • Develop logic to score and prioritize opportunities by account and solution
  • Create deliverables for non-technical audiences, including quarterly sales account briefs
  • Present findings and defend recommendations to sales leadership and senior stakeholders
  • Examine data for bias and blind spots before distribution
  • Collaborate with sales leadership to understand deal closures and refine analytics

Benefits

  • Fully remote work with flexible time zones
  • Occasional team travel for collaboration and building relationships
  • Participation in an annual bonus plan at a target of 10%
Full Job Description

About the Role

We're standing up a new Sales Intelligence team inside Business Intelligence, and this is its founding analyst hire, reporting directly to the team lead.

Our mission: turn R1's operational data into evidence sales can act on and diagnostics we can bring to customers. Running the revenue cycle for hundreds of health systems gives us a proprietary view of client's opportunity for us to solve. This team mines that view to fuel pipeline growth and sales support, starting a first-of-its-kind, data-driven cross-sell initiative for existing customers.


You'll help build the methodology, the internal product, and the analyses behind it: packaging data so a regional rep or hospital CFO understands the problem and the fix in terminology they understand.


If you'd rather invent a function than maintain one, this role is for you. You'll work directly with the team lead and partner closely with Sales SVPs/VPs, BI, and Operations SMEs.


What You'll Own

  • Build and maintain data models that turn raw operational feeds into clean, queryable signal layers.
  • Develop the logic that scores and prioritizes opportunities by account and solution, reasoning carefully about what the data does and doesn't support.
  • Turn analysis into deliverables a non-technical audience can use, including the quarterly account briefs sales runs on.
  • Present findings and defend recommendations directly to sales leadership and senior stakeholders.
  • Pressure-test your numbers for bias and blind spots before they reach a rep.
  • Partner with sales leadership to learn what actually lands in a deal, and feed that back into the analytics.


What You'll Need

  • Strong communication and storytelling - explain findings to non-data audiences, package them for action, and hold your own with VPs and SVPs.
  • First-principles problem framing - we're in pilot phase; ambiguity should excite you.
  • Analytical maturity - reason clearly about sampling, bias, and blind spots.
  • Comfort with data and willingness to build technical depth - you don't need to be a SQL expert on day one; we lean into AI tooling (cloud code, LLMs) and will invest in getting you up to speed.
  • Track record of owning work end to end and appetite to grow into a lead.


Nice to Have, Not Required

  • Background in a startup, small company, or new team where you wore multiple hats.
  • SQL, Python, or modern BI/visualization tooling (we use Streamlit, a Python-based dashboarding tool).
  • Exposure to healthcare revenue cycle, payer denials, or hospital finance.
  • Experience creating business cases, roadmaps, rollout plans, or dashboards.
  • Commercial, sales, or go-to-market analytics background.


What Success Looks Like

First 30 days

  • Can explain the function back to me: what our team’s goal is, what each solution is, how healthcare revenue cycle management (RCM) works, what the Signal Report does, and how our operational data flows.
  • Has working access to our data and has conducted self-guided exploration and discovery.
  • Has started to build key internal relationships.
  • Has delivered one small real analysis.


By 90 days

  • Owns quarterly tracking for sales recommendations to ensure pipeline is being generated using internal and salesforce data.
  • Handles follow up work: chasing and supporting outcomes, supporting analyses and explaining methodologies to sales teams and clients.
  • Developed analytical judgement and reasoning to ask the right questions on net new problems and is starting to connect the dots as to where our team sits.
  • Has become a node for the cross-functional team: stakeholders go to them for small things instead of routing them through the team lead


Additional Details

  • Location: Remote, with occasional team travel (up to quarterly), typically to Chicago for team building and collaboration.
  • Time zone: Flexible.

For this US-based position, the base pay range is $50,461.00 - $114,114.48 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.

This job is eligible to participate in our annual bonus plan at a target of 10.00%

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