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Analytics Solutions Lead, Pharma

Hophr · New York City, NY · On Site · Active · $142,140–$284,280 / year · Lever

Job facts

FieldValue
CompanyHophr
TitleAnalytics Solutions Lead, Pharma
Normalized title-
Department / teamData Science / Analytics
LocationNew York City, NY, United States
Work modelOn Site
Employment typeFull Time
Salary$142,140–$284,280 / year
Statusactive
ATS providerLever
Posted / first seen2026-05-01 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Hophr.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York City.Open
Department jobsActive postings in Data Science.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHophr
Source98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
ATS providerLever

Description

Our client, a Fortune 500 healthcare company, is hiring an Analytics Solutions Lead within their Analytics & Behavior Change (A&BC) organization. A&BC works to solve some of the most challenging problems at the intersection of technology and healthcare — leveraging advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth and improve health outcomes for 100+ million customers. In this role, you will serve as a strategic partner to internal and external stakeholders, translating business needs into actionable data science requirements and delivering high-impact analytical solutions. You will lead consulting engagements, manage data science pods, and craft compelling analytical narratives that influence executive decision-making. Key Responsibilities: • Translate business needs into clear, actionable data science requirements • Manage data science pods to implement analytical models tailored to pharmaceutical customer needs (predictive modeling, machine learning, etc.) • Apply strong analytical capabilities in Excel and BI tools (Power BI, Tableau) to translate modeling outputs into client-ready deliverables • Coordinate cross-functional program delivery across internal stakeholders to integrate existing capabilities into new customer-facing analytics solutions • Draft, refine, and deliver analytical stories to internal and external executive audiences • Partner with Product Management to relay customer insights and influence roadmap prioritization • Scope work plans, build delivery timelines, and plan resources for analytical consulting engagements • Identify project opportunities from data and analytics discovery and surface them to business partners • Work cross-functionally with product partners to standardize and accelerate analytics reporting outcomes Required Qualifications: • 5+ years in Consulting, Program Management, Business Operations or Strategy • 3+ years in analytics or management consulting, delivering executive-level presentations and strategic  recommendations • 3+ years with data visualization and manipulation in Excel; exposure to Tableau / Power BI • 2+ years working with Data Science or Data Engineering teams, translating between technical and business stakeholders for healthcare analytics • 2+ years of program management for complex, multi-stakeholder initiatives • 2+ years building executive-grade PowerPoint presentations • 1+ year in healthcare, preferably pharmaceutical / life sciences (commercial, clinical, or market access analytics) Preferred Qualifications: • Familiarity with medical and pharmacy claims data • Demonstrated proficiency in SQL • Exposure to predictive modeling, ML, or advanced statistical techniques on healthcare datasets • Strong verbal and written communication; able to craft compelling narratives from complex data Education Bachelor’s degree, preferably in STEM field (e.g., Science, Technology, Engineering, Mathematics) required. Advanced degree (Master’s in Analytics, Data Science, MPH, or MBA) preferred.

Full job record

Job ID21e31240594bc87a58b469b39e4b5ce6d596a1a4
Org IDc02383ec-f1aa-4454-a175-b91896851020
Source ID98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
Board ID98e82113-48f8-4a8a-9ad8-b70e3d5a2efe
Providerlever
Provider Job Key8b0889a4-325a-424f-b4f9-601a458f353b
TitleAnalytics Solutions Lead, Pharma
Normalized Title
Statusactive
Activeyes
Location TextNew York City, NY
DepartmentData Science
TeamAnalytics
Employment TypeFull- Time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNY
CityNew York City
Salary RawUSD 142140-284280 per-year-salary
Salary Min142,140
Salary Max284,280
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/hophr/8b0889a4-325a-424f-b4f9-601a458f353b
Apply URLhttps://jobs.lever.co/hophr/8b0889a4-325a-424f-b4f9-601a458f353b/apply
First Seen At2026-05-29 07:01:27Z
Last Seen At2026-06-06 07:56:33Z
Last Checked At2026-06-06 07:56:33Z
Last Changed At2026-05-29 07:01:27Z
Inactive At
Source Posted At2026-05-01 00:13:54Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=hophr/date=2026-06-06/2026-06-06T07-56-33-106Z-66b290b87268f1a7a1f2329dae781d4b69aa44b815e3d81199621aa8f910c716.json
Event Fields
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  "last_changed_at": "2026-05-29T07:01:27.018Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
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    "city": "New York City",
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    "country": "United States",
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  "salary_max": 284280,
  "salary_min": 142140,
  "inferred_at": "2026-06-06T07:56:33.462Z",
  "launch_scope": {
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  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Education",
      "content": "\n<li><strong>Bachelor’s degree, </strong>preferably&nbsp;<strong>in STEM field</strong>&nbsp;(e.g., Science, Technology, Engineering, Mathematics) required.</li>\n<li><strong>Advanced degree</strong>&nbsp;(Master’s in Analytics, Data Science, MPH, or MBA) preferred.<br><br><br><br><br></li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1777594434702,
  "updatedAt": null,
  "categories": {
    "team": "Analytics",
    "location": "New York City, NY",
    "commitment": "Full- Time",
    "department": "Data Science",
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