Top Data & Analytics Jobs

The Data Analyst will ensure the accuracy and integrity of business data, develop dashboards, conduct analysis, and collaborate with teams to deliver insights.

Build, maintain, and troubleshoot data pipelines moving data into Snowflake. Write dbt models with tests/docs, backfill and validate data, investigate upstream data issues, run incident response for MSSQL/Snowflake/S3, and document processes.

Build and support high-performance data solutions, design and operate ETL pipelines and data warehouses, monitor production analytics tools, troubleshoot system issues, collaborate with product teams, and support TechOps for analytics infrastructure.

Licensed MD applies clinical expertise to extract, model, validate, and maintain clinical relationships for a healthcare knowledge graph. Works with data scientists and SMEs to build training datasets, support CDS product development, ensure clinical accuracy, and provide analytics and evidence-based insights to improve search, discovery, and point-of-care workflows.

Design and own data migration strategy and architecture. Map source-to-target data models, build data dictionaries, perform migrations and testing, reconcile results, and collaborate with stakeholders and project teams to ensure successful modernization.

Lead the design and implementation of Informatica-based data pipelines, ensuring technical quality, production stability, and team mentorship while supporting modernization initiatives.

Join Target RWE as a Principal in Quantitative Sciences to design, execute, and communicate real-world clinical studies, ensuring scientific rigor and client engagement.

Lead design, development, and optimization of data models, ETL, and reporting within Oracle Fusion Cloud. Investigate and resolve complex IT issues, ensure regulatory compliance, integrate Oracle with cross-functional platforms, document solutions, and support end-users through training and troubleshooting to drive clinical and operational improvements.

Design and implement a BI solution on Hadoop/Hive: develop ETL processes, data transformations, populate Hadoop cluster and BI server, add security controls, support reporting, and iterate on user-driven enhancements.

Design, build, and maintain Databricks-based ETL/ELT pipelines, data lakes, and warehouses for genomic, phenotypic, and operational data. Optimize performance and cost, enforce data quality, integrate lab and sequencing sources, support reporting and analytics, and collaborate with geneticists and bioinformaticians to deliver governed data products for scientific and business use.