Consultant - Pharma Commercial Analytics
1 week ago
Pay: $67.86/hour W2 ONLY
Duration: approximately 1 year with extensions based on need and performance
Location: Onsite minimum two days weekly in Plymouth Meeting, PA
Overview:
We are looking for a highly motivated Advanced Analytics Consultant to join our pharmaceutical client's 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.
Qualifications:
• We are specifically looking for candidates who have experience in just pharma analytics/advanced analytics (HCP targeting, segmentation, claims analytics, predictive analytics etc.)
Requirements:
• Bachelor's degree in Analytics, Economics, Statistics, or related discipline is required.
• 2+ years of experience in analytics that includes experience within the pharma, biotech, or healthcare industries is required.
• Background in marketing measurement, MMM, A/B testing, HCP segmentation, or dynamic targeting is required.
• Experience working with large datasets and tools such as Python, R, SQL, or advanced Excel is required.
• Experience with IQVIA, Symphony or other healthcare datasets is preferred.
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