Top Hybrid Data & Analytics Jobs

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 Geospatial Analyst will perform GEOINT analysis and reporting, leveraging extensive geospatial knowledge, data integration, and advanced analytical tools.

The Senior Geospatial Analyst performs GEOINT analysis and reporting, utilizes various geospatial technologies, and coordinates with industry counterparts for geospatial intelligence projects.

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.

The Director of Strategy & Analytics will lead analytics efforts, conduct data analyses, and collaborate cross-functionally to deliver actionable insights for business growth.

The Business Analytics Associate analyzes marketing channel performance and client retention, presenting actionable insights to enhance company goals and KPIs.

The Manager of Strategy & Analytics will analyze marketing performance, client retention, and customer value, collaborating with various teams to provide actionable insights.

The Senior Business Analyst will analyze business challenges, support fraud risk improvements, collaborate with teams, and deliver enhanced defenses against fraud while ensuring a strong focus on analytics and decision-making.

The Business Manager will enhance fraud protections through strategic leadership, product development, risk management, and collaboration across departments to protect clients from fraud.

Lead the Field Strategy data team to build and modernize field sales data infrastructure, automate reporting and incentive logic, analyze large datasets, run tests, mentor junior analysts, and collaborate across product, marketing, and IT to drive data-driven field performance.

The Senior Business Intelligence Analyst will enhance reporting capabilities, analyze data, and provide insights to internal and external clients, driving strategic decision-making and client success.

The Senior Data Engineer will design and implement data architectures and pipelines, ensure data quality, automate processes, and collaborate with stakeholders to provide actionable insights using AI and big data technologies.

The Senior Business Intelligence Analyst supports clients by delivering insights through data analysis, reporting, and visualization. This role involves collaboration to enhance analytical capabilities and improve client strategies, focusing on data-driven decision-making.