Top Data & Analytics Jobs

Lead design, build, and support of scalable data pipelines, lakehouse/warehouse platforms, and analytics data products. Serve as Agile delivery lead/Scrum Master, manage PMO activities, ensure data governance/security, mentor junior engineers, and drive CI/CD, monitoring, and performance optimization across batch and streaming environments.

Lead enterprise workforce and workplace data, AI, platform, and engineering capabilities. Define data and AI strategy, modernize platforms, deliver measurable business outcomes, manage global engineering and product teams, partner with executives, and build leadership and succession while driving operational excellence and innovation.

Lead a global BI and data analytics team to analyze client requirements, design automated analytical products, support strategic business initiatives, partner with US leaders on talent strategy, and deliver high-quality BI solutions using SQL, Snowflake, and Tableau/Power BI.

Lead design, build, and optimize scalable data pipelines and Snowflake data warehouse solutions using SQL and Python. Perform query tuning, schema design, data validation, ETL/ELT orchestration, troubleshoot production issues, mentor junior engineers, and collaborate with product and business teams in an Agile environment to ensure data quality and performance.

Design, build, and maintain Workday reports and dashboards across HCM, payroll, benefits, time tracking, and finance. Ensure accuracy, optimize performance, troubleshoot reporting/integration issues, monitor interfaces and ServiceNow tickets, support releases, manage change control and migrations, document requirements with clients, and assist upgrades and security/access tasks.

Conduct research and analyze large datasets to produce reports, dashboards, and recommendations. Manage content, coordinate projects, maintain documentation, and present findings to stakeholders while ensuring data quality and process improvements.

Lead data engineering initiatives, design and implement data solutions, automate deployments, mentor teams, and manage projects using Agile methodologies.

The Capacity Planner analyzes and forecasts operational data, develops business solutions, and supports strategic activities, focusing on metrics in call center operations.

The role leads a team to provide healthcare-focused insights through analytics and data science, requiring strong people management, technical oversight, and a healthcare domain understanding.

Design, build, and maintain scalable Azure-based data engineering solutions (Databricks, ADF, Snowflake). Develop ETL/ELT pipelines, CI/CD, orchestration, and monitoring. Ensure data quality, security, and compliance for healthcare data. Support production and on-call duties. Apply GenAI techniques and build APIs/containers as needed.