Advanced Analytic Manager / Pharma Commercial Analytics & Insights

The Fountain Group; Plymouth Township (PA); Hybrid; USD 117,000 - 123,000; Full time

Job summary

The Fountain Group is seeking an Advanced Analytic Manager to join our Commercial Analytics & Insights team in Plymouth Meeting, PA. This contract role supports a U.S. business unit with data-driven insights to influence strategy, optimize promotions, and guide field execution.

Responsibilities include deep-dive analyses across claims, CRM, and promotional data; predictive modeling; MMM development; and clear, senior-leader presentations. Hybrid onsite 2-3 days.

Qualifications

• Experience in pharma analytics including HCP targeting and segmentation.
• 5+ years in analytics within pharma, biotech, or healthcare.
• Skilled in designing MMM, A/B tests and dynamic targeting.
• Experience with Python, R, or SQL on large datasets.
• Ability to translate analytics into clear business recommendations.

Responsibilities

• Analyze brand performance using claims, CRM, and promo data.
• Provide insights on prescribers, patient access, and channel performance.
• Design promotional evaluations and ROI analyses across channels.
• Lead predictive modeling for HCP targeting and field optimization.
• Collaborate with analytics teams, brand leads, and agencies.
• Present findings to senior leaders and support planning sessions.

Skills

Pharma analytics

HCP targeting

Segmentation

Python

R

SQL

MMM

A/B testing

Data visualization

Stakeholder mgmt

Education

Bachelor's degree in Analytics

Tools

IQVIA

Symphony

Job description

Pay: $85-$89.29/hour

Duration:1 year

Location: 2-3 days onsite in Plymouth Meeting, PA weekly

Overview:

We are looking for a highly motivated Advanced Analytic Manager to join our Commercial Analytics & Insights team and directly support one of our U.S. business units. This role will partner closely with Marketing, Sales, Operations, and Business Technology teams to deliver data-driven insights that influence strategy, optimize promotional investments, and guide field execution. The ideal candidate is curious, detail-oriented, comfortable working with large healthcare datasets, and able to translate complex analyses into clear business recommendations.

Key Responsibilities

• Conduct deep-dive analyses on brand performance using medical and pharmacy claims, CRM data, promotional activity data, and other internal/external datasets.
• Develop insights on prescribers, patient access dynamics, and channel performance that inform marketing and sales strategy.
• Design and execute promotional evaluations (digital, field, non-personal, patient), including experimental methodologies (test/control diff-in-diff, impact assessments, matched cohorts) to isolate ROI and channel attribution across digital, field, and non-personal tactics
• Lead development and implementation of predictive modeling initiatives such as HCP targeting and segmentation, call optimization, and field force optimization; partner with sales operations to validate model impact.
• Ability to collaborate with multiple internal and external stakeholders (e.g., analytics team members, brand leads, agencies) on complex methodologies, project prioritization and analytical readouts
• Develop and maintain marketing mix model (MMM) to guide quarterly promotional spend allocation and quantify channel contribution to brand performance
• Translate analytical findings into clear, concise presentations for senior leaders.
• Lead or co-lead quarterly business reviews and annual brand planning sessions, translating analytical findings into strategic recommendations on targeting, spend allocation and field execution
• Measure effectiveness of field force initiatives, sample strategy, and targeting lists.
• Partner with leadership to design measurement frameworks and translate business questions into rigorous analytics roadmaps

Qualifications:

• We are specifically looking for candidates who have experience in pharma analytics/advanced analytics (HCP targeting, segmentation, claims analytics, predictive analytics etc.) - required
• Bachelor's degree in Analytics, Economics, Statistics, or related discipline required.
• 5+ years of experience in analytics, preferably within pharma, biotech, healthcare, or a data-driven commercial environment required.
• Proven experience designing and interpreting studies, including MMM, A/B testing, HCP segmentation, and dynamic targeting required.
• Demonstrated experience designing analytics strategies for both HCP and Patient media and promotional tactics required
• Experience working with large datasets and tools such as Python, R, or SQL required.
• Strong analytical and problem-solving skills with the ability to structure ambiguous questions.
• Ability to communicate complex findings clearly to non-technical audiences.
• Organizational skills and ability to manage multiple workstreams in a fast-paced environment.
• Experience with IQVIA, Symphony or other healthcare datasets.

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