Top Hybrid Data & Analytics Jobs

As a Senior Product Analyst at Persona, you'll lead fraud analytics investigations, manage a team of fraud analysts, and provide actionable recommendations to enhance fraud detection and prevention capabilities.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

The VP, Analytics leads the analytic strategy and delivery across client engagements, focusing on data management, performance optimization, and hands-on contribution to advanced measurement. This role influences decision-making and ensures analytics ties to meaningful business outcomes, while mentoring a high-performing analytics team and collaborating cross-functionally.

Partner with Product and Customer Success to build and maintain Snowflake-backed dbt models, dashboards, and KPIs. Ensure data quality and governed semantic layers, enable self-service analytics, support recurring reporting and executive reviews, and align analytics with Applied AI and automation workflows.

Perform end-to-end data analysis and reporting: acquire, clean, transform, and model data; run statistical analyses (correlation, regression, time series); create reports and visualizations; support implementation, enrollment, billing/payment tracking, and website/marketing analytics. Collaborate with IT, administration, and management to prioritize needs, extract data, and integrate insights into business decisions and reports.

Support commercial analytics for sales, marketing, and e-commerce by analyzing campaigns, customer behavior, web and sales metrics, running A/B and multivariate tests, implementing web tracking and SEO analytics, building dashboards, and providing insights to commercial, e‑commerce, and marketing teams to drive decision making.

Build, operate, and monitor ETL/ELT pipelines between marketing, sales, and operational systems into Databricks. Implement dimensional models, identity resolution, data quality checks, API integrations, and scheduled/event-driven syncs to support segmentation, attribution, and campaign activation. Maintain documentation, alerting, and runbooks.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Bioinformatics Scientist will build production-grade bioinformatics workflows, develop algorithms, integrate cutting-edge tools, mentor teammates, and enhance scientific UX for researchers.

Bespoke Labs seeks unconventional talent skilled in building custom models and agents from open-source projects. This role focuses on methodical post-training to enhance enterprise performance.