Top Hybrid Data & Analytics Jobs

The Photonics Technologies Scientist will conduct R&D focused on emerging photonic technologies for space systems, engaging with space programs, performing simulations, designing systems, and developing device characterization methods to ensure mission success.

The Senior Data Scientist at The Aerospace Corporation will advise and integrate data science and AI technologies at the TAP Lab, focusing on missile warning and tracking. Responsibilities include prototyping, developing technology evaluations, facilitating experiments, and collaborating with teams to deliver high-performance software solutions.

The Image Scientist will solve challenging image processing problems and perform multi-source data analysis, developing algorithms and conducting simulations while collaborating with others for U.S. Government space programs. Responsibilities include exploiting image data, critiquing system requirements, and providing insights on computational problems.

The Data Operations Analyst will drive expertise in private market data, collaborating with product managers and teams to manage deliverables, advocate for standards, and improve processes. Responsibilities include performing data analysis, ensuring quality control, and enhancing product offerings, all while working closely with remote/onshore teams.

As a Desk Strategist, you'll analyze borrower prepayment behavior and its impact on market pricing, develop tools and scripts in Python, and collaborate with teams to support trading activities in the mortgage market.

The Lending Solutions Professional works to manage a portfolio of credit facilities, ensuring timely delivery and identifying areas of risk. Responsibilities include managing portfolio reviews, collaborating with clients and internal teams, monitoring loan health, handling escalations, leading document quality control, and supporting compliance initiatives.

As a Business Banking Strategic Analytics Vice President, the role involves analyzing credit risk initiatives, developing risk mitigation strategies, and providing analytical support for complex projects. Responsibilities include understanding operational processes and supporting business lending strategies to reduce credit losses.

As a Technology Solution Center Analyst Lead at PNC, you will provide on-call support, manage incidents, and facilitate problem resolution for technology products. Your role includes hardware and software support, networking tasks, performance analysis, and assisting with knowledge management and training.

As a Senior Data Analyst, you will collaborate with business stakeholders to understand their data needs, perform advanced data analysis, and design data strategies. Your responsibilities include data cleansing, visualization, and ensuring data integrity across C&IB data stores, leveraging your expertise in SQL, Teradata, and BI tools like Power BI and OBIEE.

The Senior Data Engineer will be responsible for building data integration pipelines for data lakes and warehouses, ensuring data quality and integrity, and collaborating with stakeholders to meet business requirements. The role includes optimizing data transformation processes and promoting coding standards.

The Manager, Data Acquisition will develop and manage the data acquisition strategy to enhance kidney care services, oversee a small team, liaise with external partners for new data sources, enforce data quality and governance, and drive value-based outcomes. The role involves strategic decision-making and collaboration with leadership.

The Manager, Data Acquisition will lead data acquisition strategies and initiatives at Strive Health, overseeing a small team and collaborating with internal and external stakeholders. They will implement improvements to data quality and governance processes while ensuring data is accurate and accessible for informed decision-making in patient kidney care services.

The Senior Data Engineer will collaborate with data science, engineering, and product teams to develop and productionize quant models, build data products, and ensure data quality while architecting the data infrastructure for Axio's services in cyber risk management.