Top Data & Analytics Jobs

Lead design and optimization of data models and pipelines for compliance and risk; standardize metrics and documentation; build data quality, lineage, and monitoring (including AI agents for automation); manage ETL scheduling, on-call pipeline support, and collaborate with product and non-technical partners to translate business needs into automated, production-ready data solutions.

Lead a team of data engineers and DBAs to ensure reliability, performance, and security of a data platform spanning SQL Server, Azure SQL, Snowflake, and Microsoft Fabric. Hands-on role includes performance tuning, incident response, monitoring, backup/recovery, platform modernization, and partnering with engineering and analytics for scalable, cost-efficient systems.

Lead enterprise healthcare data modeling: design and maintain conceptual/logical/physical models, integrate varied clinical sources, implement common data model transformations, monitor data quality, and collaborate with clinicians, data scientists, and engineers.

Lead company-wide data governance and standards, enforce data contracts and schema/version control, manage PII/RBAC and master data, establish data-quality metrics and monitoring, grow and run the governance team, remain hands-on with data profiling and SQL, and use AI to accelerate governance work and modeling.

Lead third-party data vendor lifecycle and oversight for ESG, Index, Pricing, and Economic data. Manage vendor relationships, data quality, change and issue tracking, KPIs, and stakeholder alignment. Design data quality checks, profile and analyze content, provide data insights, and collaborate with technology and business teams to improve data capabilities and delivery.

Lead analytics for the Risk Product team: analyze data, build KPI frameworks, dashboards, forecasts, and reports; translate insights into recommendations; partner with stakeholders; perform root-cause analysis and support continuous improvement to inform strategic decisions.

Lead analysis and benchmarking for assigned digital categories, generate data-driven insights and action plans, present recommendations to merchants, drive competitive improvements, and coach junior analysts.

Develop metrics, perform ETL, clean and engineer data, build visualizations and reports, interpret results, recommend analytical approaches, and present findings while partnering with cross-functional teams.

Design, build, and maintain scalable ETL/ELT pipelines and lakehouse data platforms on Azure and Databricks. Implement Medallion architecture and Delta Lake, enforce data governance and quality, optimize pipeline performance, and support CI/CD and environment promotion to deliver reliable financial reporting and analytics data products.

As a Data Engineer, you'll lead data engineering projects, develop data transformations, build workflows with Apache Airflow, and ensure data quality and integrity while collaborating with stakeholders.