Top Senior Data & Analytics Jobs

Lead and deliver BI initiatives for Wholesale Operations by analyzing data, building dashboards and reports, mentoring staff, and driving adoption of operational metrics (productivity, SLAs, capacity). Collaborate with stakeholders to translate complex datasets into actionable insights and improve legacy reporting and data workflows.

Analyze transactional and inventory data, build financial models and forecasts (NPV, IRR, scenario analysis), perform market and contract due diligence, write advanced SQL, produce dashboards, and present insights to guide parts and distribution business development.

The Senior Commerce Data Analyst will lead data analysis and management efforts, collaborating with stakeholders to enhance marketing solutions products using commerce data.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

Design, build, and optimize scalable data pipelines and products using Databricks, Spark, and Azure to support real-time and historical vehicle health analytics, ensuring data quality, governance, and CI/CD for ML workflows.

Lead design and implementation of scalable compliance data pipelines and models, standardize metrics and processes, build automation and self-serve reporting, and collaborate with stakeholders to enable regulatory reporting and risk mitigation.

The Cloud FinOps Senior Analyst is responsible for optimizing cloud costs through analysis, collaboration with engineering and finance teams, and development of financial models, dashboards, and reports, leveraging AI for insights and automation.

The Senior Data Analyst will own customer usage and financial data pipelines, develop insights via dashboards, and support cross-team projects to enhance business efficiency in the NG-SIEM system.

Lead vision, roadmap, and delivery for the Sales Data Platform. Own data stewardship, governance, lineage, and platform modernization. Partner with business and IT to enable analytics, manage backlog in Agile, oversee data ingestion/transformation, and ensure data quality, compliance, and stakeholder sign-off.

Lead end-to-end analytics for Veterinary Diet, Science Diet, and Health & Wellness businesses. Build self-service dashboards, define KPIs, run deep-dive analyses, partner with technical and category teams, and deliver insights that improve customer experience and financial P&L.

Lead enterprise data governance, quality, and lineage strategy. Mentor teams and partner with engineering to enhance data intelligence through AI-driven frameworks.

The role involves leading analytics for Private Brands, developing frameworks for performance assessment, supporting product launches, and driving analytical initiatives across teams.

Lead revenue analytics to measure initiative effectiveness, build revenue prediction and forecasting models, analyze cross-functional sales and support data, produce insights and recommendations for stakeholders and executives, and develop territory coverage models and company-level targets.

Lead revenue analytics by designing measurement approaches, building forecasting and prediction models, analyzing cross-functional revenue datasets, producing dashboards and executive-level reports, and providing data-driven recommendations to drive growth and territory/target planning.

Lead revenue analytics by designing measurement approaches, forecasting revenue with FP&A, building territory and coverage models, creating dashboards and executive reporting, and delivering actionable insights to Sales, Account Management, Channel, Support, and Solutions Architecture teams to drive growth.