Top Data & Analytics Jobs

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

The Business Analyst will manage the Quote-to-Cash lifecycle, liaising between IT and functional teams, and ensuring successful implementation of system updates while documenting requirements.

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.

Lead analytics work translating complex healthcare data into decision-ready insights. Own KPI definitions, Snowflake data marts with dbt, executive dashboards in QuickSight, and cross-functional analyses to inform strategy, product, and operations.

Lead product-focused analytics to drive consumer and seller experience: perform deep statistical analyses, design and run A/B and multi-armed bandit experiments, build scalable data pipelines and dashboards, partner with cross-functional teams, and present insights to executive leadership.

The Manager, Media Analytics leads media performance strategy, translating data into actionable insights to optimize marketing outcomes and guide investment strategies.

The Lead Data Engineer will design and build the data warehouse, develop ETL/ELT pipelines, and establish data governance and quality practices while building a team to support data-driven growth.

As a Research Assistant, you'll work with youth and families, administer assessments, manage data entry, and contribute to research reports.

The Analytics Engineer will build data infrastructures, create dashboards, define metrics, structure datasets for AI projects, and foster insights across company functions.

The Senior Revenue Analytics Manager will provide analytics and insights for GTM teams, support forecasting, develop dashboards, and analyze sales performance to improve revenue efficiency.