Top Data & Analytics Jobs

Responsible for data and analytics support for electronic customer payment transactions, including vendor relations and ROI analytics across all ADUSA brands.

Monitor and analyze the performance and reliability of deployed Generative AI systems. Collaborate cross-functionally to improve GenAI services, track KPIs, and drive operational improvements.

The Director Statistical Programming leads statistical programming services, manages teams, and provides consultation on statistical analyses, ensuring client deliverables meet quality expectations.

As an Analyst II, you'll design A/B tests, partner with teams for data-driven promotional decisions, and create datasets for analysis to improve customer offers.

As an Analyst II, you'll analyze data for risk detection and enhance Anti-Money Laundering defenses, collaborating with multiple teams to operationalize risk insights.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

The Senior Analyst will develop ownership models, understand customer needs, collaborate with engineering teams, and represent GM at industry events to enhance customer value.

Lead and develop an analytics team to provide strategic insights, influence product decisions, and improve analytical capabilities through data-driven narratives and processes.

The Security Solution Consultant at ServiceNow leads customer engagements by providing expertise in Security Operations, contributing to sales campaigns, and developing innovative solutions to enhance customer security architecture.

The role focuses on data management and governance, ensuring data accuracy, compliance, and governance, while collaborating with various teams to improve data practices.

The role involves setting data management and governance policies, ensuring data accuracy and compliance, and leading a team to enhance data operations.

The role involves collecting, processing, and analyzing moderately complex datasets, generating reports and dashboards, and performing statistical analysis to provide actionable insights.

Partner with product teams to design and evaluate experiments, build pipelines, dashboards, and reusable analytics assets, perform deep-dive analyses on product funnels and features, and communicate actionable insights to inform roadmap and OKRs.