Top Data & Analytics Jobs

The Data Manager will lead the Data team, manage execution across analytics and engineering, track KPIs, and ensure quality data practices while collaborating with cross-functional teams.

Own and operate the iMData platform: design and build Databricks-based ETL pipelines using PySpark and medallion architecture, create gold-layer star schemas, migrate assets from Synapse to Databricks, implement CI/CD and Terraform IaC, ensure data security and observability, mentor junior engineers, and collaborate with stakeholders and ML engineers to deliver production-grade analytics and AI-ready data.

The Data Migration Engineer migrates customer data into SaaS products, ensuring data quality and business continuity while collaborating with teams and managing customer requirements.

The Data Analyst will analyze complex datasets to provide insights, design experiments, optimize reporting solutions, and support cross-functional teams.

Provide reporting and analytics support for the Financial Advisor distribution channel: collect, merge, and analyze large datasets; build dashboards and KPI reports using BI tools; perform ad hoc analyses; automate reporting processes; present findings to stakeholders; and support BI platform users.

The Data Analyst will analyze extensive datasets to identify behavioral patterns, create analytics, and collaborate on data projects with product managers and developers.

The Senior Data Engineer will architect AI infrastructure, design high-performance data systems, manage AI pipelines, and collaborate with cross-functional teams. Responsibilities include implementing data architecture best practices and providing documentation and leadership in data orchestration.

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

Build and maintain reliable data pipelines, Airflow DAGs, and Snowflake-based Data Vault/warehouse models. Implement CI/CD, automated testing, observability, and production support while partnering with stakeholders and developing insurance domain expertise.