Top Data & Analytics Jobs

Lead identification and implementation of AI-driven process improvements and automations. Build and maintain LLM-based workflows, write SQL and Python for data extraction and analysis, create dashboards and operational reporting, monitor deployed automations, and partner with leaders to scale reusable tools that reduce manual work and improve decision-making.

Design and implement a BI solution on Hadoop/Hive: develop ETL processes, data transformations, populate Hadoop cluster and BI server, add security controls, support reporting, and iterate on user-driven enhancements.

Analyze campaign performance for paid social and affiliate marketing initiatives, build dashboards, provide insights, and report optimization strategies.

Research, map, audit, and validate automotive parts fitment data to ACES standards. Troubleshoot customer fitment inquiries, collaborate with cross-functional teams, support catalog enrichment, and improve catalog data quality and internal processes to ensure correct part-to-vehicle matching.

Lead design, reliability, and scalability of data infrastructure and pipelines using a modern stack (Snowflake, DBT, Airflow). Build reusable data models and semantic layers, implement data governance, observability, and SLAs, partner with cross-functional teams, build Reverse ETL and APIs, and support marketing and ML consumption.

The VP of Credit & Business Intelligence will oversee credit policy and analytics for SMB financing, focusing on AI/ML model implementation, risk management, and team leadership in analytics strategy.

Support analytics for a large multi-product client: implement measurement frameworks, run test-and-learn programs, validate data, analyze attribution/brand lift/MMM outputs, produce dashboards and actionable insights, and mentor analysts while coordinating with cross-functional and data partners.

Lead analytics work across operations, finance, clinical quality, and BD. Build and maintain BI tables and dashboards, ensure metric accuracy, run operational and growth analyses, support financial forecasting and partner reporting, and deliver ad-hoc analyses to improve efficiency, patient experience, and strategic decisions.

Design and support scalable enterprise data solutions including data flows, integrations, data lakes, and centralized repositories. Document data models and architecture decisions, improve data accessibility and quality, and help establish governance, lifecycle management, and best practices across business and technical teams.

The Business Intelligence Analyst will manage a team to develop and report cost data, oversee BI strategy, and drive analytics solutions across the organization, ensuring alignment with business requirements and technical standards.