Top Data & Analytics Jobs

The Business Analyst will focus on business priorities, integrate platforms, create user stories, support agile software development, and perform data analysis and testing.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

Develop and maintain Power BI reports and dashboards, integrate data, and support front-end application development while ensuring accurate data processing.

Lead hands-on Workday reporting and HR analytics: design, build, and maintain reports, dashboards, calculated fields, and data models. Partner with HR, HRIS, IT, finance, and vendors to translate requirements, improve data quality, ensure secure access, and scale self-service analytics and governance across global HR systems.

Lead design, build, and operation of an enterprise medallion data lake on BigQuery. Manage data engineering team, own ingestion/onboarding, enforce data contracts and SLAs, ensure pipeline reliability and observability, control platform costs, and contribute to platform strategy and governance.

Build and operate AndHealth's data ingestion, transformation, and warehouse infrastructure. Own scalable, idempotent pipelines, data quality and observability, orchestration and SLAs, BigQuery performance and cost optimizations, healthcare source integrations, HIPAA-compliant security, and platform-level data contracts and runbooks.

Manage the KYC process for corporate clients, gather and assess KYC documents, ensure compliance with regulations, and assist with client outreach.

The Principal Business Analyst will lead initiatives to optimize underwriting and acquisition strategies, leveraging data analysis and collaborating with cross-functional teams to improve profitability and credit risk.

As a Data Analyst, you'll design dashboards, optimize SQL queries, collaborate with stakeholders, and provide insights to enhance operational efficiency.

Lead design and delivery of scalable data architectures, pipelines, and trusted datasets. Drive data governance, cloud-native solutions, ETL/ELT, API integrations, and mentor engineers while ensuring reliability, security, and performance across analytics platforms and customer-facing data services.