Top Data & Analytics Jobs

The AI Data Engineer will build data pipelines and semantic models, implementing Snowflake and dbt for AI products, focusing on data accuracy and usability for LLM tools.

Deliver Databricks-based big data solutions for customers: design and build architectures, implement Spark workloads, consult on migrations, support production deployments, manage scope and timelines, and provide escalated technical support and training.

Design and maintain enterprise data models and blueprints for collection, storage, integration, transformation, and publishing. Define domains, interoperability, and governance integration. Develop conceptual, logical, and physical models for BI, AI/ML, and operational use cases; optimize model performance; collaborate with stakeholders, data engineers, and governance teams; enable consistency and reuse across teams.

As a Senior Associate, you will develop Power BI dashboards, enhance low-code solutions, and collaborate with tax teams to meet reporting needs. Responsibilities include maintaining tax technology assets and ensuring data accuracy.

Manage and scale paid media campaigns for gaming clients, optimize user acquisition strategies, and deliver insights to stakeholders.

Analyze and report on inclusion, diversity, equity, and engagement data. Provide insights to support IDE&E programs, and prepare presentations for executive leadership.

Lead partner analytics by building scalable dashboards, forecasting and ROI models, and experimental designs to evaluate and optimize partner performance. Collaborate with Product, BD, Marketing, and Data Engineering to improve pipelines, translate insights into recommendations, and mentor analysts to scale partner growth.

Design, build, and maintain marketing analytics models and tooling to optimize marketing processes. Monitor performance, produce predictive models (1+ year horizon), provide data-driven insights for marketing decisions, support cross-functional stakeholders, and scale tools like promotion optimization, alerting dashboards, and workflow engines while documenting and training teams.

Build and own finance and GTM datasets and reporting (Databricks, Omni). Produce pipeline, revenue forecasting, retention, and SaaS metric reports; standardize metrics, ensure data quality and documentation, automate investor and board workflows, and partner with Finance, Sales, CX, and executives.

Support global supply chain sales by automating workflows, reconciling and validating data, and improving internal and customer-facing reporting. Build and maintain Excel VBA automation, gather requirements, test and roll out tools, train users, and apply AI tools to speed development and analysis while driving continuous improvement.