Home › Companies › Hophr › Analytics Solutions Lead, Pharma
Analytics Solutions Lead, Pharma
Hophr · New York City, NY · On Site · Active · $142,140–$284,280 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Hophr |
| Title | Analytics Solutions Lead, Pharma |
| Normalized title | - |
| Department / team | Data Science / Analytics |
| Location | New York City, NY, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | $142,140–$284,280 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-05-01 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hophr. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York City. | Open |
| Department jobs | Active postings in Data Science. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hophr |
| Source | 98e82113-48f8-4a8a-9ad8-b70e3d5a2efe |
| ATS provider | Lever |
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 ID | 21e31240594bc87a58b469b39e4b5ce6d596a1a4 |
| Org ID | c02383ec-f1aa-4454-a175-b91896851020 |
| Source ID | 98e82113-48f8-4a8a-9ad8-b70e3d5a2efe |
| Board ID | 98e82113-48f8-4a8a-9ad8-b70e3d5a2efe |
| Provider | lever |
| Provider Job Key | 8b0889a4-325a-424f-b4f9-601a458f353b |
| Title | Analytics Solutions Lead, Pharma |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York City, NY |
| Department | Data Science |
| Team | Analytics |
| Employment Type | Full- Time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York City |
| Salary Raw | USD 142140-284280 per-year-salary |
| Salary Min | 142,140 |
| Salary Max | 284,280 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/hophr/8b0889a4-325a-424f-b4f9-601a458f353b |
| Apply URL | https://jobs.lever.co/hophr/8b0889a4-325a-424f-b4f9-601a458f353b/apply |
| First Seen At | 2026-05-29 07:01:27Z |
| Last Seen At | 2026-06-06 07:56:33Z |
| Last Checked At | 2026-06-06 07:56:33Z |
| Last Changed At | 2026-05-29 07:01:27Z |
| Inactive At | — |
| Source Posted At | 2026-05-01 00:13:54Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=hophr/date=2026-06-06/2026-06-06T07-56-33-106Z-66b290b87268f1a7a1f2329dae781d4b69aa44b815e3d81199621aa8f910c716.json |
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