Top Data & Analytics Jobs

The Senior Process Improvement Analyst is responsible for executing Lean initiatives to improve operational performance by creating enhanced processes and metrics based on customer feedback. The role involves conducting data analyses, managing process improvement projects, and facilitating Lean Six Sigma techniques to identify and sustain improvements.

The Senior HR Technology Analyst at Discover will support HR business processes through the maintenance and improvement of HR systems. Responsibilities include managing system changes, ensuring data integrity, performing testing, and collaborating with teams to implement upgrades. The role also involves analyzing processes for improvement and maintaining awareness of trends in HRMS technologies.

The Senior Principal Data Analyst is responsible for managing and analyzing data within Discover. They gather and structure data from various sources, provide recommendations, coach team members on statistical concepts, and lead the development of standard analyses and dashboards while addressing risk and customer issues.

The Lead Procurement Technology Analyst is responsible for supporting and enhancing procurement technologies such as Ariba eSourcing, Supplier, and Contracts modules. They manage risk and customer-impacting issues, lead design and training efforts, gather functional requirements, conduct testing, ensure compliance with supplier diversity, and manage implementation of new contract authoring tools.

The Cybersecurity Analyst will support senior team members in risk assessments and security control evaluations while ensuring compliance with regulations. Responsibilities include managing risks, developing security documentation, and collaborating with teams to enhance cybersecurity practices.

The Senior Associate Data Engineer designs, develops, maintains, and tests data solutions while contributing to design decisions and participating in agile ceremonies. They execute data integration solutions, manage risks, and assist in onboarding new engineers.

The Principal Data Scientist will lead analytical initiatives and provide strategic recommendations to solve business problems using advanced analytics, machine learning, and statistical methodologies. Responsibilities include collaborating with cross-functional teams, developing analytical frameworks, and delivering insights to leadership through presentations and reports.