Advanced Analytics Manager, Commercial Analytics & Insights

Spectraforce Technologies; Harmonville (PA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Spectraforce Technologies is hiring an Advanced Analytics Manager for Commercial Analytics & Insights in Plymouth Meeting, PA. The role partners with Marketing, Sales, Operations, and Tech to deliver data-driven insights that influence strategy and optimize promotional investments.

The ideal candidate has 5+ years in pharma analytics, experience with MMM, segmentation, claims analytics, predictive modeling, and proficiency in Python, R, or SQL.

Qualifications

• Bachelor's degree in analytics, economics, statistics, or related field
• 5+ years of analytics experience, preferably pharma/healthcare
• Experience designing MMM, A/B testing, HCP segmentation
• Ability to work with large datasets and tools like Python, R, SQL
• Strong communication of complex findings to non-technical audiences

Responsibilities

• Conduct deep-dive analyses on brand performance using medical and pharmacy claims, CRM data, promotional activity data, and other datasets
• Develop insights on prescribers, patient access dynamics, and channel performance for marketing and sales strategy
• Design and execute promotional evaluations (digital, field, non-personal, patient) including experiment methodologies
• Lead predictive modeling initiatives such as HCP targeting and segmentation, call optimization, and field force optimization
• Collaborate with internal/external stakeholders on methodologies, prioritization, and analytic readouts
• Develop and maintain marketing mix model (MMM) to guide quarterly spend allocation
• Translate analytical findings into concise presentations for senior leaders
• Lead quarterly business reviews and annual brand planning translating findings into strategic recommendations
• Measure effectiveness of field initiatives, sampling, and targeting lists
• Partner with leadership to design measurement frameworks and analytics roadmaps

Skills

Analytical thinking

Communication

Project management

Python

R

SQL

Education

Bachelor's degree in Analytics, Economics, Statistics, or related discipline

Tools

Python

R

SQL

Job description

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