Top Data & Analytics Jobs

Deliver end-to-end data engineering and technology solutions for clients: translate business requirements to technical designs, lead teams to build ETL/data pipelines on Databricks and Snowflake, optimize queries and pipelines, manage project delivery and client communications, mentor junior staff, and ensure security, monitoring, and operational readiness.

Design and implement innovative clinical data solutions, lead technology projects, and collaborate with clients for impactful analytics in life sciences.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

The Decision Analytics Associate Consultant will support clinical data strategies, analyze clinical trial data, and collaborate with cross-functional teams, ensuring adherence to industry standards.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

Lead analytics workstreams for health plan clients: define problems, analyze data, build models and dashboards, synthesize insights into strategic recommendations, manage client relationships, and collaborate with teams to deliver actionable solutions.

Work collaboratively to develop market access and pricing strategies for clients, leveraging advanced analytics and problem-solving skills. Responsibilities include conducting research, designing analyses, and communicating insights to clients.

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.

As an Associate Consultant, develop statistical models, leverage data analytics for decision-making, communicate results, manage client relationships, and guide teams.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.