Top Data & Analytics Jobs

Design, build, and maintain data ingestion pipelines and integrations from intermittently-connected robots to analytics, ML training, and operations. Implement SDKs, connectors, schema contracts, retries, backfills, monitoring, and optimize pipeline performance, scalability, and cost. Collaborate with robotics, autonomy, and deployment teams to ensure reliable end-to-end data delivery and quality.

The Data Analyst will automate solutions for data analysis, collaborate with technical teams, design ETL packages, and generate reports.

General application to Cardamom's talent pipeline for roles across Epic analytics, data & analytics, project/product management, and internal functions. Candidates can submit for Epic analyst, data engineering, data science, interoperability, BI, software development, and entry-level roles (Madison local). Talent team reviews submissions and contacts matches for current or upcoming openings.

Build and maintain mobile attribution and marketing data pipelines, implement postbacks to ad platforms, configure tracking (server-side GTM, pixels, CAPI), automate event audits, handle mobile privacy (SKAN/ATT/AD_ID), debug discrepancies across ad platforms/CRM/warehouse, use Python and BigQuery for validation, and partner with Growth/Product/Data to run and measure experiments.

The Data Engineer will develop and implement software solutions for law enforcement, focusing on data management, system optimization, and effective communication with clients.

The Head of Data will define and execute Crosby's data strategy, build data systems, enhance AI performance, drive analytics, and lead the data team.

Lead Analytical teams and strategy, oversee method development and validation for biologics, ensuring compliance and successful technology transfer between sites.

This role involves proficiency in SQL, backups, disaster recovery, performance tuning, query optimization, and capacity planning. Strong communication, analytical skills, and attention to detail are required for problem-solving in a production environment.

DiffUSE seeks individuals interested in interdisciplinary roles involving computational biology, machine learning, and open scientific tooling. Responsibilities include data processing, ML research, infrastructure engineering, and community building.

Design, build, and maintain large-scale data platforms, pipelines, and warehouses to power reporting, analytics, and AI-driven solutions. Develop agentic AI applications and backend services, improve frontend dashboards occasionally, enforce data governance and testing, mentor junior engineers, and collaborate cross-functionally to optimize performance and reliability.