Top Data & Analytics Jobs

Lead production and delivery of go-to-market operational reporting and forecasting for Sales, Marketing, Customer Success, and Partners. Manage a small analytics team, ensure data quality, automate reporting, support CRO-level reviews, and partner with RevOps Systems, IT, and Finance to improve scalability and reporting consistency.

Design and deploy scalable ETL and database solutions, build automated data pipelines and Power BI dashboards, perform complex analyses and validation, create executive-level reports, lead cross-functional data projects, and mentor junior analysts.

Build and maintain production-grade data products and ETL/ELT pipelines on the Databricks Lakehouse. Optimize Spark workloads, ensure data quality and governance (including PHI handling), collaborate with Data Science and Platform teams, implement CI/CD and monitoring, and contribute to lakehouse architecture and data modeling best practices.

Design, develop, and optimize Oracle and MongoDB databases; write complex queries, stored procedures, triggers, and ETL (SSIS/Informatica); perform performance tuning, backup/recovery, and deployment automation; work independently with business analysts to source and transform data from databases and files (XML/CSV); use Autosys and scripting for automation; document solutions and participate in Agile processes.

Lead scaling of Arbital's AWS/Databricks lakehouse and Spark pipelines, implement actuarial healthcare calculations, own Airflow orchestration and CI/CD, ensure data quality and HIPAA-compliant PHI handling, partner with data scientists to deploy ML models, and set platform architecture and engineering standards.

Redevelop and integrate multiple database systems to interface with the state ERP, cloud-hosted enterprise asset management, and internal applications. Develop queries, stored procedures, and functions; design reliable databases, create documentation and diagrams, ensure performance and agency requirements, and help establish a data warehouse foundation. Position is onsite.

Design, build, and maintain scalable backend systems and data pipelines to generate point-of-care insights; collaborate with product and engineering stakeholders; mentor junior engineers; ensure solutions are secure, performant, maintainable, and support analytics and unified metrics collection.

Manage and maintain central database systems, clean and validate data, create queries and analyses to support program evaluation and QI, train and support staff on data protocols, ensure data security and HIPAA compliance, and document sustainable data processes.

Lead analytics delivery across multiple client accounts: supervise and mentor analysts, design measurement frameworks, execute and validate MMM and forecasting, ensure data quality and governance, interpret performance versus KPIs, present actionable insights to clients, and improve analytics workflows.

Lead and grow a multidisciplinary data analytics and automation team to deliver governed data products, workflow automation, AI-enabled tooling, and self-service analytics. Define roadmap, drive platform modernization (Snowflake, dbt, Dagster), ensure standards and governance, manage cross-functional delivery, mentor staff, and communicate measurable business impact to senior leadership while reducing manual work and improving decision-making.