Top Hybrid Analytics Jobs

The Associate Director will lead the omnichannel data acquisition efforts, manage relationships with data suppliers, ensure data governance, negotiate contracts, and collaborate with teams to improve data efficiency and effectiveness while driving organizational change.

The Intelligence Analyst will review intelligence reports, develop data projections, perform threat analysis, and create reports and presentations tailored to customer requirements while ensuring adherence to established methodologies and procedures.

The Corporate Infrastructure & Capital Project Analyst will oversee the financial performance of capital infrastructure projects, validate cost estimates, track project performance, and ensure accuracy in forecasting. This role includes conducting financial reviews, addressing project cost variances, and mentoring project managers.

The Corporate Infrastructure & Capital Project Analyst will oversee the financial performance of capital infrastructure projects by validating construction cost estimates, tracking project cost performance, and analyzing financial metrics. The role requires collaboration with project managers and stakeholders to mitigate financial risks and improve financial tracking processes.

The Conjunction Assessment Risk Analysis (CARA) Program Analyst Systems Engineer will assess conjunction risk for uncrewed spacecraft, working on analysis, software development, and systems engineering. Responsibilities include conducting technical analyses, engaging with NASA, and defining the strategic direction for CARA efforts.

As a Data Engineering Specialist, you'll design, develop, and maintain efficient data pipelines and platforms for analysis and reporting, collaborate with various teams to implement cutting-edge data solutions, and architect data infrastructure to drive mission-critical decisions for aerospace and its customers.

The Sr. CPQ Product Enablement Analyst will lead the strategic deployment and optimization of quoting and ordering tools to empower the sales force. They will oversee the launch of offers across multiple portfolios, develop business processes, and collaborate with cross-functional teams to enhance tool adoption and streamline efficiencies.

The CPQ Business Systems Analyst will lead the deployment and optimization of quoting tools to enhance sales efficiency. Responsibilities include collaborating across teams, gathering business requirements, developing advanced offers, and overseeing user acceptance testing while ensuring effective tool adoption and alignment with business objectives.

As a Reporting Analyst, you will optimize operational processes and derive insights through data analysis to support business objectives. Responsibilities include developing reports, designing dashboards, ensuring data integrity, and collaborating with various departments.

As Manager of Data Science, you'll develop analytics products and deliver insights that impact business outcomes by leveraging AI/ML solutions. You'll focus on creating scalable solutions, conducting A/B testing, and utilizing statistical methods to optimize strategies, while collaborating with cross-functional teams to drive data-driven decision-making.

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.

As a Data Analyst at Capital One, you will leverage your analytical and technical skills to innovate and maintain data solutions while collaborating with cross-functional teams. You'll work on large datasets and execute analyses to support credit risk management and process improvements, all while driving strategy and enhancing customer experiences.

As a Senior Manager of Data Engineering at Capital One, you'll lead a team to develop and support technical solutions using full-stack tools. Responsibilities include designing and implementing data solutions while mentoring team members and collaborating with product managers for robust cloud-based solutions.