Top Hybrid Data & Analytics Jobs

Design, own, and scale an enterprise Databricks/Azure data platform supporting analytics and interoperability. Lead integration architecture (APIs, ADF, event-driven), build high-performance Python/SQL pipelines, enforce governance (Unity Catalog), ensure healthcare compliance, mentor engineers, and drive CI/CD and IaC for reliable, secure PHI/PII handling.

Lead and own Tomo's data function end-to-end: strategy, roadmap, platform health, hiring and developing a cross-functional data team. Hands-on player-coach building dbt models, writing SQL, designing experiments, driving marketing measurement, partnering with Product and Engineering, and communicating data-driven recommendations to executives.

Build and maintain data infrastructure to measure agent behavior and user interactions, design evaluation frameworks for AI agents, analyze user behavior to inform product strategy, and partner with engineering and leadership to solve high-impact business problems using data.

The Senior Data Analyst will analyze large datasets to provide actionable insights, forecast user behavior, and mentor junior analysts, enhancing decision-making and reporting processes.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

Design, build, and maintain dbt models, ELT pipelines, Looker explores and visualizations. Drive analytics strategy, data discoverability, observability, lineage, and security. Mentor engineers, collaborate cross-functionally, apply software engineering best practices, and integrate AI to scale data products and self-service BI.

The Senior Data and Solutions Engineer develops data pipelines, manages analytics frameworks, and collaborates with stakeholders to improve data quality and reporting consistency.

The Database Engineer will design and maintain database systems, optimize queries, support data integrity, and implement backup strategies in a mission-critical environment.

Drive marketing performance measurement and attribution by building dashboards, standardizing campaign tracking across HubSpot and Salesforce, running funnel and cohort analyses, ensuring data integrity, and delivering executive reporting to connect marketing activity to pipeline and revenue.

The Data Analyst for Product Strategy & AI will analyze complex product questions, oversee product usage analyses, and collaborate with teams in NYC and India to enhance analytics workflows and data interpretation.