Top Data & Analytics Jobs

The Senior Business Analyst will analyze healthcare data, manage requirements for data warehousing projects, and contribute to Business Intelligence initiatives. Responsibilities include data aggregation, understanding database structures, EDI claims, and conducting data quality checks.

Analyze conversational call flows and large datasets to optimize IVR and generative AI systems. Perform call testing, annotation, dashboard monitoring, and deliver data-driven insights and presentations to improve self-service, reduce agent handling, and enhance customer experience.

As a Business Intelligence/Data Engineer, you will analyze data structures, implement data warehousing solutions, and design data visualizations while working with AI/ML services in cloud environments.

Gather business requirements and design, build, test, and implement a relational database using MS Access 2010, involving data migration and validation.

The Forward Deployed Product Manager engages with clients to understand their needs, translates data requirements, and drives product adoption and strategy to maximize data value.

Design and document enterprise data architecture and information models, partner with business and IT to optimize cloud data models and governance, guide MDM/metadata/warehouse efforts, assess impacts of new systems/tools, and implement Databricks Lakehouse and Delta Lake solutions.

The MRB Administrator ensures product quality by managing nonconforming materials, facilitating MRB meetings, conducting root cause analyses, and ensuring compliance with GMP standards.

As a Quantitative Researcher, you'll build and analyze statistical models, manage research processes, and optimize quantitative code while solving complex problems in financial markets.

The Lead Data Analyst will solve complex business problems using large datasets, automate workflows, and provide insights to influence marketing and growth strategies. Responsibilities include data analysis, statistical modeling, and collaboration with various teams to improve efficiency and decision-making.

Own ingestion, transformation, validation, and normalization of clinical and EHR data pipelines (HL7 v2, FHIR, CDC) into performant Snowflake and MySQL schemas. Build and monitor AWS-based pipelines, ensure data quality and PHI-compliant handling, and support downstream ML and application needs across enterprise integrations.