Top Data & Analytics Jobs

The Lead Data Engineer will manage U.S. Data Strategy capabilities, translating business objectives into cloud data solutions, while ensuring scalability and security. This includes ETL, analytics, and technical leadership in a hybrid work environment.

Lead data management and quantitative analysis for finance: build statistical, financial, and econometric models (asset performance, securities, derivatives, risk), extract and transform data using SQL and macros, program/configure systems, write model validation tests, serve as Agile Scrum Master for projects, interpret results, and communicate findings to leadership and nontechnical audiences.

Lead production and reporting of strategic metrics and BI solutions. Design and maintain dashboards, reports, ETL, and data integrations; analyze trends; partner with stakeholders to define measurement plans and improve processes; oversee Snowflake and relational database implementations for enterprise financial reporting.

The Lead Data Analyst will partner with the General Manager to drive data initiatives, lead investigations into metrics, and design analytical frameworks to evaluate product growth, including A/B testing and financial storytelling.

Lead and scale a global Client Experience program across U.S. and EMEA, managing survey-based measurement (NPS, touchpoint satisfaction), synthesizing multi-source CX data into executive-ready insights, partnering with marketing and sales to embed recommendations, defining CX KPIs, and driving action planning and tracking to improve client outcomes.

This role involves leading analysis efforts for complex ESG initiatives, translating business needs into functional requirements, and collaborating with engineering teams in an Agile environment.

The Senior Biostatistician will lead statistical projects, collaborate with teams, support study designs, and advance statistical methodologies.

Serve as a senior analytics consultant for provider data in a managed care environment. Build and QA regulatory reports, develop scorecards and dashboards, automate workflows with M365, and analyze claims/provider/member data to support value‑based reimbursement, network adequacy, and financial outcomes. Lead testing plans, drive process improvements, present insights to stakeholders, and mentor junior staff.

Lead enterprise data architecture across Snowflake, dbt, and Power BI. Define data models, integration patterns, ingestion (batch and near real-time), governance, metadata, lineage, and BI semantic layers. Own roadmap, standards, documentation, design reviews, and mentor engineering and BI teams to ensure scalable, consistent, and trusted analytics across the organization.

Design, build, support, and troubleshoot data pipelines, integrations, and data warehouses. Collaborate with cross-functional teams, recommend tools and frameworks, ensure data governance, and mentor junior data engineers.

The Data Manager will develop dashboards, conduct statistical analyses, and support compliance through data management and risk assessments to enhance organizational performance.

Maintain integrity, security, and availability of Oracle, SQL Server, and SYBASE databases. Perform performance tuning, monitoring, disaster recovery, index maintenance, security policy implementation, and migrations from on-prem Oracle to AWS RDS. Support installation and administration of database systems and optimization of schema, storage, and queries.