Top Data & Analytics Jobs

The role involves leading a team to develop machine learning models, analyze large datasets, and translate complex data insights into business goals. Requires collaboration with cross-functional teams to enhance decision-making and model validation.

The Business Director leads strategic initiatives using analytics to transform the associate experience and improve decision-making, collaborating with Tech leaders while mentoring junior team members.

The Data Analysis Manager will drive strategies using analytics, lead a team of analysts, enhance customer experiences, and improve data processes.

The Senior Business Manager for Product Analytics will lead strategic initiatives, manage product analytics, and drive improvements in product development by applying analytical skills and collaborating with cross-functional teams.

The Strategy Analyst develops analytical solutions to inform product strategies, marketing initiatives, and credit performance improvements. Responsibilities include data modeling, collaboration with teams, and influencing decisions based on insights.

The Data Manager acts as a liaison for WMS data standards, manages supplier performance, develops process improvements, and leads complex projects.

As a Strategy Analyst, you will perform data analytics, contribute to product strategies, and work within cross-functional teams to influence decisions and outcomes.

The Senior Business Analyst, Commercial Fraud Strategy analyzes and develops strategies to mitigate fraud risks while collaborating with cross-functional teams, leveraging analytical skills to enhance product and risk strategies.

Senior Data Risk Manager providing second-line oversight for enterprise data risk. Conduct risk and gap assessments, advise business and technology partners, embed data governance and quality controls, and influence product roadmaps to ensure regulatory compliance and strong data management practices.

Lead and mentor engineering teams to design, build, test, and support cloud-based data platforms and streaming solutions. Implement big data, ETL, and data warehousing using cloud services and distributed tools, collaborate with product managers, and ensure high-quality, performant code.