Top Data & Analytics Jobs

Designs and maintains AWS data platform foundations, lakehouse architectures, batch and streaming pipelines, tokenization workflows, migration frameworks, governance controls, and DataOps automation. The role uses Spark, Kafka, Iceberg, AWS analytics services, CI/CD, infrastructure as code, and observability tooling to support secure hybrid cloud data and AI initiatives. Responsibilities also include schema governance, cost monitoring, technical documentation, disaster recovery, and cutover planning.

Leads Digital Incentives Insights for strategic clients, partnering with Sales and cross-functional teams to deliver analytics-driven growth. Oversees a team of insights professionals, manages workloads and quality standards, and remains hands-on with data mining, performance analysis, measurement frameworks, dashboards, and executive storytelling. Supports business development, renewals, client strategy, and consultative recommendations while improving analytical methodologies, processes, and offerings.

The Sr. Director of Biostatistics will lead statistical support for clinical studies, oversee biostatistics teams, and ensure statistical integrity in analyses and reports.

Owns data integrity, quality assurance, remediation, standards, and governance for Development data. Leads audits, maintains data definitions and business rules, assigns corrective actions, facilitates governance decisions, and partners with analytics, CRM, fundraising, finance, IT, compliance, and legal teams. Develops training, monitors stewardship accountability, resolves data-quality issues, and ensures reliable reporting and downstream business processes.

Leads the Health Fund’s Data Engineering Team and oversees enterprise data warehouses, pipelines, integrations, governance, testing, and data quality initiatives. Provides technical leadership, manages staff, translates business requirements into scalable solutions, and partners with business, technology, QA, infrastructure, and external vendors. Ensures data platforms meet performance, reliability, privacy, security, regulatory, and operational requirements while developing data strategy, architecture, documentation, standards, and best practices.

Designs and implements data architecture solutions, including data models, data flows, dictionaries, warehouses, and data lakes. Integrates data from multiple sources, ensures quality, integrity, and security, troubleshoots architecture and ETL issues, reviews technical configurations, and guides development teams. Collaborates with stakeholders, stays current on data management practices, and mentors junior staff supporting government programs.

Deliver analytics consulting projects involving process automation, data visualization, statistical analysis, and analytical tool development. Partner with stakeholders to identify business value, build minimum viable products and production applications, and train business users. Use tools such as Dataiku, Alteryx, Tableau, Power BI, Sigma, SQL, Python, cloud platforms, and modern databases while managing projects independently.

Build and maintain enterprise data pipelines and integration workflows across on-premises and cloud systems. Ingest, transform, and stage structured and semi-structured data; write and optimize SQL queries, views, and stored procedures; implement data validation, monitoring, alerts, and logging; document pipeline logic; use source control and code reviews; and provide support through tickets and on-call rotations.

Develop and maintain manufacturing data infrastructure, databases, dashboards, and analytical tools integrating fab, equipment, metrology, test, yield, and reliability data. Build Python and JMP workflows, automate reporting and alerts, ensure data traceability and quality, troubleshoot dashboard and data-connection issues, and support SPC, DOE, process capability, reliability, and root-cause analyses. Collaborate with engineering, manufacturing, quality, reliability, and IT teams.

Leads the customer master data governance program and serves as business owner for the Informatica MDM platform. Oversees governance policies, data quality, customer hierarchies, stewardship operations, source onboarding, platform enhancements, and AI-enabled matching and deduplication. Partners with business, IT, technical teams, and external providers to define requirements, manage priorities, resolve issues, and improve data processes. Performs hands-on testing, validation, reconciliation, and user acceptance activities before platform changes are deployed.