Senior Pharmaceutical Commercial Analytics Scientist

Sigma Systems

. Support multiple customer groups and/or therapeutic areas .

Posted 11/11/2026full-timeRemote • Connecticut • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, including statistical methodologies and modeling techniques, to drive marketing effectiveness and support strategic decision-making in the pharmaceutical industry. Proficient in leveraging large data sets and digital analytics to enhance promotional strategies and customer engagement.

Highest-signal resume keywords

Advanced Analytical TechniquesExperience in Metabolic Therapeutic AreasProficiency in R/Python and/or SASExperience Analyzing Large Patient Claims Data SetsDigital Analytics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodologiesMarketing Mix ModelingPredictive ModelingCustomer ProfilingMultivariate Analytical TechniquesPromotional Responsiveness TechniquesCampaign AnalyticsData ExtractionAnalytical Plans DevelopmentAnalytical Methodologies

Soft Skills

Strong Interpersonal AbilitiesProject ManagementEffective Communication

Tools & Technologies

SQLExcelPowerPoint

Industry Keywords

Pharmaceutical ManufacturerCardioRenal MetabolicCustomer ChannelsPromotional SpendingDigital Marketing Tactics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support multiple customer groups and/or therapeutic areas
Apply statistical methodologies to measure marketing impact
Conduct marketing mix modeling and ROI analyses for marketing programs, customer channels, and promotional spending
Perform customer profiling, segmentation, and predictive modeling
Conduct and interpret advanced analytics to support promotional strategy and effectiveness decisions
Support brand planning, field-force evolution, non-personal digital/virtual activities, and forecasting
Conduct advanced analytics supporting brand planning and promotional resource allocation, including customer channels and digital activities
Liaise between Marketing and Sales to develop business tactics and strategies
Execute departmental procedures and collaborate across the organization to integrate marketing strategy into delivered sales-force call plans, virtual/non-personal digital activities, and telephone plans
Communicate analytical results effectively to internal customers and support their use in decision-making
Build and share knowledge of analytical methodologies and high-quality vendors, including third-party digital agencies
Establish work habits supporting the therapeutic business function's evolving processes and execution needs

Requirements

What you’ll need

Bachelor's degree and seven (7) years of analytic experience with relevant data sources and analytical methodologies OR Master's degree and five (5) years of experience with relevant data sources and analytical methodologies
Experience analyzing large, deidentified patient claims data sets strongly preferred
Experience in Metabolic therapeutic areas such as CardioRenal Metabolic (e.g. Chronic Kidney and Hearth Failure) strongly preferred
Modelling experience in pharma
Experience working within a large pharmaceutical manufacturer strongly preferred
Proficiency in the development, documentation and communication of analytical plans
Proficiency in advanced analytical techniques including multivariate analytical and promotional responsiveness techniques
Experience conducting digital analytics, including non-personal marketing tactics such as email, banner, mobile and alerts, or another analytical field with a demonstrated passion for digital technology
Experience analyzing campaigns and performing in-campaign analytics to improve performance and working with Consumer marketing databases
Experience understanding customer needs, incorporating them into deliverables, and ensuring recommendations/results are implemented
Experience coordinating insights from disparate functions and sources, such as marketing research and forecasts, into comprehensive analysis and/or recommendations
Proficiency in R/Python and/or SAS and data extraction and analytical tools such as SQL
Experience with Excel and PowerPoint
Strong interpersonal abilities
Ability to manage multiple projects simultaneously
Must be willing to work regular business hours aligned to the EST time zone