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Advanced Analytics Manager, Commercial Analytics & Insights

Spectraforce Technologies
United States, Pennsylvania, Plymouth Meeting
Nov 17, 2025
Position Title: Advanced Analytics Manager, Commercial Analytics & Insights

Work Location: Plymouth Meeting, PA 19462

Assignment Duration: 12 months

Work Arrangement: Hybrid (Required to be onsite 2-3 times/week)


Position Summary:

* 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.

* Support evaluation of promotional tactics (digital, field, non-personal) including ROI, impact assessments, and attribution.

* Assist in predictive modeling initiatives such as HCP targeting, call optimization, and DEP (Dynamic Engagement Plan) evaluation.

* Translate analytical findings into clear, concise presentations for senior leaders.

* Support business reviews (QBRs, MBRs, brand planning, field strategy sessions).

* Measure effectiveness of field force initiatives, sample strategy, and targeting lists.

Qualification & Experience:

* 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.

* Background in marketing measurement, MMM, A/B testing, HCP segmentation, or dynamic targeting.

* Experience working with large datasets and tools such as Python, R, SQL, or advanced Excel.

* 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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