Overview
Schedule
Full-time
Career level
Director
Remote
On-site
Compensation
$142,140-$284,280/year
Benefits
Career Development
Job Description
Location: New York, NY (On-site) \u007C Pay Range: $142,140 – $284,280
Position Summary
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
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FAQs About Analytics Solutions Lead, Pharma Jobs at Hop
What is the work location for this position at Hop?
This job at Hop is located in New York City, NY, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Hop?
Candidates can expect a pay range of $142,140 and $284,280 per year.
What employment applies to this position at Hop?
Hop lists this role as a Full-time position.
What experience level is required for this role at Hop?
Hop is looking for a candidate with "Director" experience level.
What benefits are offered by Hop for this role?
Hop offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Hop?
You can apply for this role at Hop either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.