The Role
Designs, develops, deploys, and maintains predictive models for life sciences marketing analytics. Responsibilities include analyzing marketing effectiveness, sales engagement, next-best-action, demand planning, customer segmentation, and test-and-control problems. Applies statistical, econometric, and optimization methods to structured and unstructured data, communicates actionable findings, and supports end-to-end client projects.
Summary Generated by Built In
Job Objective:
Design, Develop, Deploy and Maintain - Predictive models based on Business Case. Handle end to end projects in Marketing Analytics for Life Science companies
Roles & Responsibilities:
- Work with internal business teams to understand problem statement, requirements and use cases
- Work on Business problems including Marketing Effectiveness, Sales Engagement & Next Best Action, Demand Planning, Customer Segmentation, Test & Control analysis
- Conduct simple and advanced data analysis to help clients make good business decisions
- Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems
- Explore emerging statistical models as well as provide analysis using existing models
- Build solutions on Structured as well as Un-structured data like Text, Images etc.
- Maintain the highest standards to follow the best practices and trending analytics in pharma domain
- Work with project leadership to define project scope
Requirements:
- Masters in Statistics, Marketing, Finance, Operations research
- 2-3 years of work experience on analytic work (use of advanced modelling projects and tools such as R, Python etc.). Knowledge of promotional channels and digital analytics.
- Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings. Familiarity with the application of analytics to sales, marketing, or managed markets problems.
- Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.
- Should have sound experience in data mining and data analysis.
Additional Skills:
- Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets
Skills Required
- Master’s degree in Statistics, Marketing, Finance, or Operations Research
- 2–3 years of experience performing analytics and advanced modeling projects
- Experience using tools such as R and Python
- Knowledge of promotional channels and digital analytics
- Strong analytical and communication skills
- Ability to communicate actionable analytical findings
- Familiarity with analytics applications in sales, marketing, or managed markets
- Experience with data mining and data analysis
- Knowledge of transactional data assets, including volume/value, Rx, specialty-level, and longitudinal patient-level data
- Ability to work proactively in a high-pressure, client-service environment
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The Company
What We Do
Trinity Life Sciences is a modern partner to companies in the life sciences industry with nearly 30 years of expertise. The firm combines strategy, insights, and analytics to help life science executives with clinical and commercial decision-making. Serving over 300 pharmaceutical, biotech, and medical device clients, Trinity helps them develop the right drugs and devices for today’s market and optimize them once in market.
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