Top Data & Analytics Jobs

The Senior Data Engineer will design and develop scalable data architectures, manage ETL processes, optimize databases, and implement MLOps pipelines, promoting data-driven decision-making across the organization.

Responsible for building data models, developing ELT pipelines, implementing data quality checks, and utilizing best practices in data engineering and healthcare analytics.

Lead technical design and implementation of production-grade data platforms, ETL/ELT and streaming pipelines, containerized Python data applications, Snowflake and dbt modeling, observability, CI/CD, and AI/ML data integrations to enable scalable data products and business-aligned analytics.

Lead data cleansing and migration for a global SAP ECC-to-target migration (Project Aurora). Manage master data cleansing, mapping, transformation, and migration activities; run daily stand-ups, delegate tasks, collaborate with stakeholders and the global team, produce documentation and reports, and provide training and support to ensure data quality and successful migration.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

The Applied Scientist will build pricing algorithms, design auction mechanisms, develop models for worker relationships and construct experiment frameworks for the organization. The role involves direct collaboration with engineers and analysis of marketplace trends and metrics.

Lead and scale the analytics function, managing data analysts and partnering with Product, Marketing, Data Science, and Engineering. Define analytics strategy and roadmap, deliver KPIs, ensure data quality, build dashboards and self-service tools, drive event instrumentation and deep-dive analyses, and support AI adoption for business impact.

Build and maintain data infrastructure, integrate veterinary partner systems, develop dbt models and pipelines, provide analytics modeling, testing, reporting, and deliver actionable insights to customers and internal teams.

Design and build scalable data foundations, pipelines, semantic models, and AI-grounded tooling. Lead platform-level AE tooling, reusable dbt patterns, observability, cost strategies, and agentic AI workflows. Partner with stakeholders, guide team technical development, and drive cross-functional data initiatives from ambiguous problems to production.

The Senior Manager leads Power BI reporting and analytics functions, overseeing a team and ensuring standardized, scalable reporting solutions while managing transition to Microsoft Fabric.