Top Data & Analytics Jobs

Partner with product teams to build data products, dashboards, and self-service AI/agent tooling. Own product metrics, run exploratory and ad-hoc analyses, improve data quality and governance, and translate analysis into clear recommendations to drive product OKRs.

Designing and implementing large-scale data systems, architecting Data & Analytics solutions, leading cross-functional teams, and managing full life-cycle data solutions.

Collect, analyze, and interpret complex datasets to create and maintain customer-facing Tableau reports; collaborate with customer services and development teams to scope reports and data models; investigate data accuracy issues and communicate insights to stakeholders.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.

The role involves reverse engineering and optimizing complex database environments, analyzing database schemas, designing data models for efficiency, and administering enterprise databases.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

Analyze customer data environments using SQL, drive feedback for product improvements, build internal tools, and collaborate with field teams.

Collect and transmit data from retail stores using a hand-held scanning device. Responsibilities include counting inventories and scanning UPC codes.

The SEO Innovation Specialist will manage SEO strategies, conduct audits, optimize content, and leverage AI tools for performance analysis.

The Sales Analyst analyzes sales and marketing data to improve efficiency and revenue. Responsibilities include KPI development, market analysis, and CRM data management.