Top Hybrid Data & Analytics Jobs

The VP of Data will lead data strategy, manage data infrastructure, ensure data security, drive business insights, and integrate AI across the company.

The Analytics Engineer will build and optimize data systems, analyze catalog performance, and collaborate across teams to enhance decision-making processes.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Risk Analyst II will analyze credit risk for loan and lease activities, develop credit policies, monitor credit performance, and present findings to management.

As an Analyst I at DAT, you will analyze data to answer business questions, build reports, and collaborate with senior analysts to support product strategy and performance assessment.

The Data Insights Analyst II analyzes complex data sets to provide insights for strategic decisions, collaborates with teams for performance optimization, and communicates findings using visualization tools.

Lead a small senior data team to deliver attribution, incrementality, LTV/CAC, segmentation, forecasting, and experimentation. Own measurement of cross-product flywheels, guide data platform investments, embed experimentation, and partner with executives to influence capital allocation and GTM decisions while doing hands-on analysis.

Design, build, and operate the data platform: ingestion, transformation (DBT), orchestration (Airflow on Kubernetes), and metrics. Manage BigQuery/GKE/Cloud Run/Kafka costs and performance. Lead company-level analyses, partner with finance/GTM/product, ship BI dashboards, enable self-serve analytics, and establish AI-assisted data workflows and best practices.

Design, build, and optimize ETL pipelines and data models for the company data lakehouse. Support migration, Databricks cluster administration, CI/CD with Azure DevOps, data validation, auditing, and performance tuning. Collaborate with analysts and IT to resolve data issues and ensure scalable, accurate data processing.

Develop, maintain, and publish supply chain and manufacturing BI dashboards and reports (OBIEE/Power BI/Excel). Partner with IT and stakeholders to migrate data, validate accuracy, automate recurring reports, troubleshoot issues, and provide training to improve operational efficiency and decision-making.