Top Data & Analytics Jobs

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

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

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.

Analyze and validate tariff data submissions, identify issues using Power BI and Excel, communicate resolutions to stakeholders, train users on dashboards, and prepare documentation and analytical reports.

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 Staff Ecosystem Analyst will lead strategic data initiatives, synthesize insights, collaborate with various teams, and innovate using AI to influence business decisions and strategies within Block's ecosystem.

Design, develop, and maintain machine learning and statistical models; analyze large datasets; ensure data quality; partner with cross-functional teams to translate business problems into scalable analytics solutions and communicate insights to stakeholders.

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.

Analyze large advertising datasets, perform root-cause and performance analyses, create dashboards and reports using SQL and Python/R, present insights to stakeholders, and collaborate with Sales, Account Management, Product, and R&D.

Perform full motion video analysis to produce timely intelligence products supporting MCIA; synthesize multi-source information, develop collection requirements, and produce concise reports and briefings using Microsoft Office.

Support multiple Program Managers by gathering, analyzing, and summarizing program health data (customers, TATs, delinquencies, WIP). Create tables, charts, reports, and presentations for operations, management, contracts, engineering, and finance; present findings and provide recommendations as needed.

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.

The Director will lead the Data Engineering and Analytics department, managing analytics teams, driving improvements, and communicating with senior leadership while overseeing data projects and standards.

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

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.

Partner with tech, operations, and workforce stakeholders to analyze workforce and operational data, build forecasts and scenario models, write and optimize SQL, use Databricks, create dashboards and reports, and deliver actionable insights to inform capacity, demand, skills, and staffing decisions.

Design, build, and maintain scalable cloud-native data pipelines and ETL/ELT solutions using Python/PySpark, Databricks, DBT and AWS/Azure services. Collaborate with architects, data scientists, and product teams to optimize data models, ensure data quality, monitor pipeline performance, and drive architectural improvements and automation.

The Sr. Associate will manage AI Risk operations, oversee request workflows, track key metrics, support governance meetings, and identify process improvements.