Top Data & Analytics Jobs

Design, build, and maintain batch and real-time ETL pipelines and data lake architecture using AWS services, Python, PySpark, and SQL. Ensure data quality, governance, and compliance; support reporting and ML models; mentor junior engineers and document data products.

Design, build, and maintain scalable data ingestion and ETL pipelines across a growing data lake. Define and enforce data quality standards, SLOs, and validation frameworks. Optimize pipelines for performance and cost, expand monitoring and alerting, and enable stakeholders to self-serve on data infrastructure.

Own and refine TechInsights' proprietary Compute AI model combining teardown, reverse-engineering, costing, and market data. Maintain end-to-end market models for SoC and AI accelerators, apply AI-enabled tools to accelerate analysis, document methodology, publish technical insights, mentor junior analysts, and present findings to clients and executives. Support select client engagements as subject matter expert.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.

Responsible for transforming sales data into strategic narratives, providing insights for executive decision-making, and leading a team of analysts.

Lead design of end-to-end data architecture across ERP, CRM (Dynamics 365), MES, PLM and enterprise data platforms. Define canonical data models, integration patterns (APIs, event-driven, ETL/ELT), MDM and governance, enable analytics/AI on Azure data services, and provide technical leadership and stakeholder influence.

Build and maintain Azure Data Factory ingestion pipelines into Snowflake, implement medallion transformations (Coalesce), write Python orchestration and connectors, apply governance with Atlan, collaborate with AI coding agents, participate in CI/CD with Azure DevOps, handle on-call production support, and document runbooks.

The Analyst - Actuarial will create and maintain actuarial models, provide insights to management, develop analyses, and stay updated with industry standards. They will also participate in a rotation program gaining diverse actuarial experience.

Design, build, and maintain data transfers and databases. Produce efficient, reusable data engineering code, perform data modeling, UAT, data cleaning, reporting, and technical documentation. Collaborate with stakeholders, participate in code reviews, and improve automation and processes to meet business requirements.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.