Senior Associate, Patient Analytics (Remote)

Job description

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.
Key Responsibilities:

Analyze and interpret patient-level claims data to uncover actionable insights for pharma clients.
Support the development of patient journey analysis, market landscape, treatment overview, adherence studies, and other patient-centric analytics solutions.
Lead and execute advanced analytics across MMX, forecasting, and sales performance measurements for US pharma brands.
Build and maintain forecasting models to project demand, revenue, patient volumes, and prescription growth.
Conduct brand and portfolio-level sales analytics, including NRX/TRX trends, HCP performance, payer mix, and competitive dynamics.
Support MMX projects, including data ingestion, model execution, output validation, and insights storytelling.
Perform KPI-driven performance analytics to evaluate field force effectiveness, ROI, and market opportunity identification.
Design, develop, and maintain dashboards and visualizations tailored to client needs.
Collaborate with project managers and clients to define business requirements and translate them into analytical frameworks.
Ensure quality control and accuracy in data handling and reporting.
Provide mentorship to junior team members on analytics techniques and best practices.

Qualifications:

Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, or Data Science).
3+ years of experience in US Pharma consulting, with a focus on patient analytics and claims data.
Strong analytical and problem-solving skills, with the ability to interpret complex datasets.
Excellent communication skills to present findings effectively to clients.
Good to Have: Familiarity with Dataiku for data preparation and machine learning workflows.

Required skills

accuracy quality control mentorship reporting data science best practices forecasting economics statistics roi mathematics dashboards data handling business requirements data ingestion visualizations dataiku pharma clients machine learning workflows quantitative field competitive dynamics analytical frameworks patient analytics claims data us pharma consulting mmx sales performance measurements nrx/trx trends hcp performance payer mix model execution output validation insights storytelling kpi-driven performance analytics field force effectiveness market opportunity identification analytics techniques

Senior Associate, Patient Analytics (Remote)

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