Top Hybrid Data & Analytics Jobs

Lead and grow a data engineering team that designs, builds, tests, and operates large-scale data pipelines and warehouses. Partner cross-functionally to translate requirements, ensure data quality, observability, SLAs, security, and governance, and drive automation and performance for analytics, ML, and product use cases.

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

As the Lead BI Engineer, you will build the analytical infrastructure for data-driven decision-making, design scalable data models and dashboards, implement BI tools, and ensure data quality. You'll partner with various teams to define KPIs and insights, setting the direction for future BI efforts and team growth.

The Digital Service & CX Analyst improves customer journeys, integrates new technologies, analyzes business risks, and manages projects for enhanced customer experiences.

Lead marketing performance measurement and audience segmentation for B2B demand generation. Build and maintain segmentation logic, measure buying group coverage and pipeline, translate analyses into account targeting, partner with data engineering, present insights to senior leaders, and ensure compliant, well-documented marketing datasets.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

The role involves building and scaling a scientific model platform at Benchling, integrating various AI models, and collaborating with users to optimize usage in biotech R&D.

As a Data Engineer, you'll transform raw data into refined offerings, collaborate with stakeholders, build central logic layers, and leverage AI tools for efficient data workflows.

The Sales Revenue Analyst will manage commission processes, analyze compensation results, and partner with various departments to optimize sales performance.