Top Hybrid Data & Analytics Jobs

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.

The Fraud Analyst is responsible for identifying, investigating, and preventing fraudulent activities, educating stakeholders, monitoring transactions, and developing fraud management strategies.

The Analytics Engineer will optimize data for analysis, collaborate with teams to create data solutions, maintain data quality, and lead projects.

The Manager, Decision Science will lead a team, deliver analytical solutions, optimize campaigns, communicate with clients, and develop talent.

The role involves designing and implementing data solutions, analyzing large datasets, ensuring data integrity, and developing business intelligence tools to support decision-making for a key government program.

The Targeting Analyst will conduct GEOINT exploitation, analysis, and reporting with a focus on advanced GEOINT disciplines, supporting the US Army's targeting operations and intelligence analysis.

The FMV Analyst role involves training in FMV tradecraft, producing imagery reports, compiling intelligence materials, and maintaining situational awareness during operations.

Design and develop data models and pipelines, optimize data systems, collaborate with teams, enforce data governance, requiring 5-7 years of data engineering experience.

Lead the Modeling Center of Excellence in financial projection modeling for life and health products, ensuring compliance, accuracy, and innovation. Oversee model governance and talent development while collaborating with cross-functional teams to deliver strategic insights.

Lead the development and governance of annuity financial projection models, ensuring accuracy and regulatory compliance while driving innovation and talent development.

The Category Data Analyst supports sourcing activities through data analysis, market intelligence, and reporting, enabling informed decision-making and supplier management.

The Operations Data Analyst role involves analyzing data to support manufacturing processes, requiring proficiency in SQL, Power BI, and statistical techniques.

The Sr Associate, Collections will lead the development of collections strategies, drive performance management, mentor analysts, and partner with cross-functional teams to improve customer outcomes and financial analytics.

The Senior Revenue Operations Analyst will support go-to-market teams with insights and reporting, optimize processes, and analyze revenue trends to drive operational efficiency and revenue growth.