Engagement Lead - Data Science | ProcDNA · Teeming.ai
ProcDNA
ProcDNA is an analytics and software firm that accelerates commercial and clinical investments, primarily serving clients in the life sciences and related industries. With a strong presence in San Francisco and a global workforce of over 200 employees, ProcDNA differentiates itself through its advanced big data and AI-infused software solutions, including the Auxo Suite, which encompasses various products like Auxo HCP-360 and Auxo BI Reporting. The company has been recognized as one of the fastest-growing private companies, ranking 28th in the Bay Area and 621st on the Inc. 5000 list, showcasing its significant market traction and position in the industry.
ProcDNA is an analytics and software firm that accelerates commercial and clinical investments, primarily serving clients in the life sciences and related industries. With a strong presence in San Francisco and a global workforce of over 200 employees, ProcDNA differentiates itself through its advanced big data and AI-infused software solutions, including the Auxo Suite, which encompasses various products like Auxo HCP-360 and Auxo BI Reporting. The company has been recognized as one of the fastest-growing private companies, ranking 28th in the Bay Area and 621st on the Inc. 5000 list, showcasing its significant market traction and position in the industry.
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About ProcDNA
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
We are looking for a
Engagement Lead - Analytics
to join our team. You are someone who has good understanding of the pharmaceutical industry, have detailed knowledge of various datasets like LAAD, DDD, XPO, etc., enjoys working on complex data sets to help clients solve diverse real-world problems and drive business performance, navigate risk, and develop pragmatic strategies through data-driven insights.
What you will do
Must Have
6 to 8
years of relevant experience with healthcare/ pharma consulting and clients
Bachelor’s or master’s degree in engineering with strong academic performance.
Ability to work on and manage multiple concurrent projects for multiple stakeholders with a quality-focused approach.
Able to understand, identify and recommend reporting needs and improvements.
Strong verbal, written and collaboration skills with ability to articulate results and issues to internal and client teams.
Proven ability to work creatively and analytically in a problem-solving environment with minimal direction.
Focus on leveraging emerging technologies and best business practices to solve some of the challenges in the healthcare/pharma industry.
Develop relations with the client leadership to act as a thought leader and propose new avenues for both client and ProcDNA growth in terms of offerings.
Work with clients to structure and model the data to solve complex business problems.
Design and run analysis for helping clients with strategic decision-making alongside managing team internally. This would include designing, implementing, and improving statistical models, Business Intelligence, and other analytical tools.
Extensive experience in designing advanced healthcare analytics tools and delivering applications in Tableau, SAS, R, Alteryx, etc. to improve outcomes for patients while managing costs.
Develop and leverage in-depth understanding of data and processes for better project delivery.
Create a structure around recurring tasks and operationalize them.
Work alongside clients to develop tailored solutions to create impactful outcomes.
Develop and implement innovative solutions along with coaching, guiding, and mentoring Team Leads in the team.
Have a Proactive and not Reactive approach to work when needed.
Build, and ideate internal offerings to help the company/team grow on aspects beyond project/client work.
Individuals with experience in Sales Operations and Incentive Compensation, IC, Ops, Design, Implementation, Goal Setting, Sales Crediting, Eligibility, Contests, Award, Targeting, Call Planning, Sizing, Alignment, segmentation etc.
