Top Data & Analytics Jobs

Analyze business performance, provide insights, improve processes, participate in continuous improvement projects, and collaborate with cross-functional teams.

Lead systems analysis, design, implementation, and administration for complex Epic analytics and application environments. Mentor analysts, gather functional and non-functional requirements, coordinate testing and UAT, ensure data integrity and disaster recovery, and collaborate with project managers and stakeholders to meet project goals and improve system performance.

Transform complex data into actionable insights by building reports and interactive Power BI dashboards, performing SQL/Python/R analysis, documenting SOPs and system functionality, and partnering with stakeholders to improve processes and decision-making.

Lead business analysis to improve processes and support data-driven decisions: gather and validate requirements, document workflows, collaborate on solution design, develop reports and dashboards, track KPIs, analyze data, support implementations and testing, and mentor junior analysts.

Deliver accurate, engaging weekend weather forecasts for television and digital platforms. Forecast, produce, and present segments; provide live severe-weather coverage; create social and streaming content; fill in on weekday shifts; collaborate with producers and meteorologists; use weather technology and graphics to communicate urgent weather information.

The intern will automate processes, scrape data sets, and perform econometric analysis using various programming languages. Candidates benefit from exposure to industry applications of their technical studies, team projects, and visibility to experts.

Design, build, and maintain scalable ETL/ELT pipelines ingesting travel-related data from multiple sources. Integrate and model data in cloud warehouses (Snowflake/BigQuery/Redshift), implement data quality and monitoring, support real-time streaming, and ensure data governance and regulatory compliance. Collaborate with analysts, data scientists, and product teams to deliver reliable datasets for personalization, forecasting, and optimization.

Build and own customer data ingestion and large-scale pipelines powering AI workers. Design syncing, retrieval, and data lake systems, improve reliability/observability, partner with product/backend teams, and contribute across infrastructure to give AI agents access to enriched customer data.

Design logical and physical data models for large data warehouses, perform data profiling and domain modeling, optimize database performance for OLAP/BI systems, collaborate with business teams to gather requirements, and implement solutions using SSIS and Oracle/SQL.

The Data Engineer will maintain and optimize data pipelines, manage infrastructure, support ML workflows, and collaborate with teams on data products.