Top Hybrid Data & Analytics Jobs

As a Senior Business Analyst at Capital One, you will utilize your analytical skills to address major business challenges. You will collaborate with teams to develop strategies impacting the Retail Bank's modernization program, focusing on replacing core systems and enhancing financial products, requiring strong cross-functional partnerships.

As a Senior Business Analyst at Capital One, you will analyze business challenges, develop new programs, and partner with various departments to improve profitability. You will use data-driven recommendations to influence strategy and execution while thriving in a fast-paced environment.

As a Principal Data Analyst at Capital One, you will leverage analytic and technical skills to build data solutions for credit risk management. You will engage in innovation, business intelligence, and data management tasks, collaborating with cross-functional teams to drive insights and enhance decision-making.

The Technical Business Analyst at Northwestern Mutual will work in a cross-functional team, facilitating collaboration and conducting thorough analysis to document and improve current operations. Responsibilities include creating actionable reports, gathering requirements, authoring user stories, and leading Agile ceremonies to ensure projects align with business objectives.

The Assistant Director of Workforce Planning & Talent at Northwestern Mutual will support the evolution of workforce planning by developing tools and practices, analyze workforce data to guide talent strategies, and deliver actionable insights to stakeholders. The role involves collaboration with HR leaders to ensure alignment with strategic goals and monitoring progress towards talent initiatives.

As a Senior Analyst in Casino Analytics, you will analyze data to uncover patterns and trends to drive business growth, create presentations of key insights, develop dashboards, conduct A/B testing, and mentor team members.

As a Decision Analytics Associate Consultant, you will develop statistical models, leverage analytic techniques for decision-making, and communicate results to clients. You will build client relationships, provide project updates, and mentor team members to enhance problem-solving skills and improve analytics capabilities.

As a Decision Analytics Associate Consultant, you will develop advanced statistical models and leverage analytic techniques to guide decision-making for Health Plan clients, communicate findings, and build client relationships, while mentoring junior team members.

The Decision Analytics Associate Consultant develops advanced statistical models and custom analyses for health plan clients using R, Python, Tableau, SAS, and Excel. They guide decision-making through data insights, synthesize and communicate results, manage client relationships, and mentor team members.

In this role, you will lead cross-functional RDQ activities for new product development and portfolio maintenance. Responsibilities include project planning, coordinating technical projects, conducting consumer testing, and interpreting data insights. Your work will involve stakeholder management, coaching team members, and identifying trends to drive product innovations.

The SAP Finance Master Data Analyst will manage master data services related to Finance and Controlling in SAP, involving data harmonization, governance, and migration. The role requires collaboration with business teams, training staff on data management standards, and ensuring data accuracy and process improvement.

The Quality Control Analyst I performs lab support activities to assist with routine and non-routine testing in a GMP environment. Responsibilities include equipment maintenance, compliance with health and safety protocols, sample testing, and creating standard operating procedures. Must be willing to work flexible hours, including weekends and overtime as needed.

The Statistician will develop and apply statistical theories to solve intelligence problems, design metrics projects, plan data collection, process data for analysis, and produce visual data representations. A strong background in statistical analysis and experience within military or government contexts is key.

The Mid-level Data Scientist at BAE Systems will conduct data analytics and engineering in a classified environment, creating data packages, extracting features from varied data sources, and leveraging algorithms for text and audio analysis, while adhering to classification guidelines.

The Computer Scientist will work in a classified environment, providing expertise in OSINT capabilities, machine learning algorithms, and data management. Responsibilities include data integration, algorithm development, and assisting in the design and implementation of database systems for intelligence analysis.