Top Data & Analytics Jobs

Build and maintain production knowledge graphs in Stardog using semantic web standards, ontology modeling, SPARQL, virtual mappings, Python, and SQL. Integrate life science data sources, implement data quality and validation, automate CI/CD deployments, support governance and lineage, and collaborate with subject matter experts to develop defensible semantic models.

Leads the design, development, and operation of enterprise data integration solutions, including cloud data lakes, warehouses, ETL pipelines, APIs, data models, and automated CI/CD workflows. Partners with global business and technology stakeholders to deliver scalable, secure, governed, and high-quality data systems. Oversees pipeline operations, performance optimization, testing, documentation, data cataloging, and integration developer standards while supporting project and business-as-usual initiatives.

Conduct real estate market research across asset types, maintain data integrity, analyze market trends, and develop reports, presentations, pitches, and white papers. The role creates narratives around market participants and demand drivers, evaluates research resources, supports national and global initiatives, trains brokers on tools, and mentors junior staff. Success requires strong analytical, writing, communication, data management, Excel, and PowerPoint skills.

Provide senior-level data engineering for analytics: resolve complex technical issues, build decision-support reports and dashboards, lead projects, prepare and integrate data, coach staff, and ensure high-quality analytics to support academic, research, and healthcare goals.

Develops and maintains dbt models in Snowflake, transforms source data into governed analytical datasets, and designs dimensional data models. Builds Gold-layer data products supporting Power BI, reporting, analytics, and approved AI use cases. Implements data quality tests, documentation, lineage, source control, CI/CD, and production monitoring. Partners with business stakeholders, analysts, and Data Engineering to define metrics, troubleshoot data issues, validate releases, and support certified semantic datasets.

Designs and maintains healthcare analytics infrastructure, production data models, semantic layers, and transformation pipelines using advanced SQL and analytics engineering practices. Integrates payer claims, EMR, clinical, attribution, quality, and operational data. Performs ad hoc analysis, defines standardized healthcare metrics, validates data quality, optimizes queries, documents data flows, and partners with clinical, operational, IT, and payer stakeholders to support value-based care and enterprise reporting.

Supports electronics hardware process improvement through data analysis, engineering tool development, process compliance, dashboards, KPIs, and reporting. The intern analyzes engineering processes and project data, develops visualizations, assists with tool configuration and testing, documents processes, creates training materials, and collaborates with engineering, process, and IT teams to improve efficiency and reporting.

Leads marketing, digital, loyalty, and consumer insights analytics teams; develops customer, campaign, loyalty, and marketplace insights; oversees research, experimentation, measurement, dashboards, and executive reporting. Partners with cross-functional leaders to influence strategy, improve customer acquisition and retention, and optimize investments. Manages analysts, research agencies, analytics vendors, and collaboration with data engineering, data science, and technology teams.

Leads data operations professionals supporting an overhead imagery processing program. Oversees the preprocessing pipeline from satellite data acquisition through ingestion and storage, manages technical projects and teams, maintains government customer relationships, and ensures complex data pipelines operate reliably at scale. Requires experience with quantitative analysis, ETL, SQL/NoSQL databases, geospatial datasets, cloud architectures, and active TS/SCI clearance.

Lead data architecture and database operations for ACWS. Develop and maintain data pipelines, mappings, integrations, and reporting feeds; support migration, transformation, validation, reconciliation, and data quality management. Coordinate requirements across BI, application, architecture, and database teams. Document data flows and transformation logic, and recommend improvements to reliability, automation, analytics readiness, and governance.