Top Data & Analytics Jobs

Lead automotive market analysis to inform GM Sales, Service, and Marketing strategies. Monitor trends, identify incentive and sales opportunities, build dashboards and reports, collaborate cross-functionally, manage vendor data quality, and deliver insights and presentations to senior leadership to drive go-to-market decisions and measure program effectiveness.

Design, build, and operate scalable real-time and batch data pipelines ingesting high-frequency telemetry, simulation, and trackside data. Own Kafka/Flink streaming components, Databricks lakehouse implementations, and infrastructure-as-code deployments. Develop software in Python/Java/SQL, integrate systems, automate testing and releases, performance-tune pipelines, and mentor peers to ensure resilient, secure, high-performance data delivery for motorsports teams.

Lead and execute performance marketing analytics: set analytical agenda, integrate disparate data, run root-cause analyses, build models, produce executive narratives, mentor team members, and drive cross-functional decisions while remaining hands-on with data, dashboards, and measurement.

Lead VIN population analysis, build and maintain data pipelines, preprocess and validate large datasets, and develop cost models and reporting. Create dashboards and self-service analytics (Tableau, Power BI), support the Global SFI database, and partner with engineering and operations to drive field action decisions.

Build reusable, analytics-ready telematics data products on Azure Databricks. Design canonical datasets, standardize metrics and business logic, optimize performance and cost, enable self-service analytics, and support AI/ML use cases for enterprise telemetry and connected-vehicle data.

Build, scale, and operate an enterprise telemetry data platform that ingests, processes, and publishes vehicle telemetry at global scale. Develop batch and streaming pipelines using Databricks and Spark, implement observability and data quality controls, optimize distributed workloads for performance and cost, and enable reliable production data products through CI/CD and Infrastructure as Code. Provide technical leadership and partner with analytics, AI, and engineering teams.

Lead and grow a data engineering team to build scalable, cloud-native multi-cloud Lakehouse data products using Databricks, Spark, Delta Lake and near real-time streaming. Drive migration from legacy systems, enable AI/ML and GenAI use cases, ensure observability, data governance, CI/CD, and collaborate with product, analytics, security and architecture teams to deliver customer and marketing data solutions.

Support manufacturing automation initiatives by managing project data, building Power BI dashboards and ETL pipelines, analyzing budgets and performance, developing executive reporting and presentations, and partnering with engineering and business teams to drive automation investments and process improvements across General Assembly facilities.

Build and improve end-to-end simulation data workflows and automation for vehicle dynamics: generate, store, process, validate, and analyze simulation datasets; implement CI/CD pipelines, Databricks/SQL-based data management, and automation; partner with simulation engineers to standardize metadata, drive reuse, and train teams toward data-driven simulation practices.

Design, build, and productionize batch and streaming ETL/ELT pipelines and ML workflows on Azure Databricks. Implement Unity Catalog data products, MLflow model lifecycle controls, CI/CD for data/ML artifacts, and operational monitoring. Partner with cross-functional teams to modernize legacy workflows into scalable, production-ready solutions.