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Engagement Manager, Advance Analytics


This is a Full-time position in Princeton Township, NJ posted December 27, 2019.

Our client was founded in the last 5 years and empowers commercial decision makers by unlocking actionable insights from data assets.

To that end, the firm offers innovative cloud-based analytics platforms, scalable big-data analytics infrastructure and reporting solutions, advanced business analytics consulting services, and a flexible resourcing model designed to meet each client s unique needs.

Role: Engagement Manager with a fast track for promotion & growth.

Position Overview: The Engagement Manager will translate business questions into an analytical framework, partner closely with stakeholders, manage and execute projects successfully, publish milestones and results.

Individual will manage projects and should possess excellent client management and project management skills.

Functions and Responsibilities: Manage & Execute projects in areas of Marketing & RWE Analytics Marketing Analytics include Marketing Mix Modeling, Promotional Responsiveness (ROI), Segmentation/Targeting, Multi-Channel/Digital Marketing Effectiveness and Sales Forecasting.

RWE Analytics include Patient Finder Analysis, Claims Data Analysis.

Patient Journey Analysis Create insightful summary and deck (storyboarding) in order to provide strategic recommendations to clients and other stakeholders.

Maintain seamless communication with client, get necessary clarifications and resolve outstanding issues proactively.

Qualifications / Requirements: Business Analytics / Data Scientist with 5 to 9 years of experience in Machine Learning, Marketing and Sales Analytics Prior experience of having client management and project management is mandatory.

Master s in engineering, AI/ML related fields, Operations Research and/or Statistics Hands-on experience with Base SAS, SAS STAT, SAS Macro & R Strong analytical aptitude and technical ability to explore and innovate Must possess good interpersonal skills along with excellent presentation and communication skills Proficient in Microsoft Excel & PowerPoint.

Ability to work with visualization tools e.g.

Tableau, Spotfire etc.

will be considered good to have skill-set.

Pharma, Life Sciences Domain Ability to think out of the box, assess current processes and offer ideas for improvement.

– provided by Dice