Top Data & Analytics Jobs

Design and own the companys end-to-end data and analytics stack: build metrics, dashboards, and reporting; instrument product and GTM signals; transform messy data into structured inputs for AI agents; and define analytics infrastructure (dbt, Snowflake, Mode) while partnering across founders, engineering, and GTM teams.

Lead data engineering efforts, manage data governance, ensure compliance, and oversee data platform economics while designing scalable systems.

The Senior Data Infrastructure Engineer will design, build, and operate Decagon's data systems, optimizing pipelines and infrastructure, collaborating with teams to enhance performance and reliability of data solutions.

Design, build, and maintain systems and architecture to collect, store, and analyze large volumes of data in support of DoD/IC programs. Work with stakeholders to enable data ingestion, storage, and analytics pipelines.

The Data & Analytics Architect will design and implement analytics solutions, support client engagements, and lead data architecture projects, requiring extensive technical and consulting skills.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Lead enterprise data architecture on Snowflake, define Medallion Architecture and data modeling standards, guide dbt/Python pipeline frameworks, enforce HIPAA-compliant governance, optimize performance and cost, and mentor engineers while collaborating with analytics, clinical, and product stakeholders.

Lead the Analytics function at Beacon Software by analyzing customer and business data, shaping product decisions, and identifying opportunities across portfolio companies.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

As a Quant Strategist, you will develop algorithms, analyze experiments, and translate models into production systems, impacting revenue and player experience.