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Advanced Analytics Manager, Commercial Analytics & Insights

Spectraforce Technologies
United States, Pennsylvania, Plymouth Meeting
Sep 04, 2026
Title: Advanced Analytics Manager, Commercial Analytics & Insights

Duration: 1 year

Plymouth Meeting, PA 19462

Required to be onsite 2-3 times/week


Qualifications:


Actual Job Title: Advanced Analytics Manager, Commercial Analytics & Insights.
* We are specifically looking for candidates who have experience in just pharma analytics/advanced analytics (HCP targeting, segmentation, claims analytics, predictive analytics etc.)
Qualifications
* Bachelor's degree in Analytics, Economics, Statistics, or related discipline.
* 5+ years of experience in analytics, preferably within pharma, biotech, healthcare, or a data-driven commercial environment.
* Proven experience designing and interpreting studies, including MMM, A/B testing, HCP segmentation, and dynamic targeting.
* Demonstrated experience designing analytics strategies for both HCP and Patient media and promotional tactics
* Experience working with large datasets and tools such as Python, R, or SQL.
* 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.
Note:
* Hybrid role:- Required to be onsite 2-3 times/week
* We are specifically looking for candidates who have experience in just pharma analytics/advanced analytics (HCP targeting, segmentation, claims analytics, predictive analytics etc.)

Responsibilities:

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
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