Top Data & Analytics Jobs

The Senior Associate, Analytics will manage complex data projects, create data visualizations, and support clients with actionable insights derived from data analysis.

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

This internship provides hands-on experience in Data Management, assisting in documentation, project meetings, data reviews, and cleaning tasks.

The Business Intelligence Analyst will design and implement reports and analytics solutions in Power BI, collaborating with teams to gather data and deliver insights for better decision-making.

Design, build, and manage batch and real-time data pipelines on GCP. Implement Terraform IAC, CI/CD, APIs, and CDC ingestion via Datastream. Build medallion architecture with Dataform/dbt, optimize BigQuery and ClickHouse models, create Airflow DAGs with monitoring, and maintain GDPR/CCPA compliance and data governance.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

As an SAP ABAP & Data Transformation Consultant, you will assist with data analysis, extraction, mapping, loading, and validation for SAP S/4HANA migrations.

As an Analytics Lead, you will manage the measurement strategy, oversee tracking architecture, design testing frameworks, and create insights for clients. You'll lead a junior specialist and ensure data integrity across client accounts. Responsibilities include building dashboards, interpreting metrics, and creating measurement plans to drive business decisions.

The Actuarial Analyst role involves supporting pricing and analytical capabilities, conducting profitability analyses, and collaborating with underwriting teams to inform strategic business decisions.

The Sr. FWA Analyst identifies fraud, waste, and abuse in medical billing through data analysis, supporting engineering and data science teams with validation and tuning of detection algorithms.