Top Data & Analytics Jobs

Conduct media, social, and policy research to identify reputational issues, risks, and narratives. Prepare alerts, briefings, reports, presentations, and recommendations for clients. Support monitoring, benchmarking, communications measurement, data organization, quality control, and analysis using Excel and research tools. Collaborate with account teams, participate in client meetings, manage deadlines, incorporate feedback, and help improve research quality.

Manages GIS datasets, spatial databases, mapping, infrastructure data, and enterprise GIS applications. Interprets engineering plans, legal descriptions, imagery, and source documents; maintains ArcGIS platforms; develops GIS tools and applications; trains staff; supports public and agency inquiries; and supervises GIS Specialists and Interns. Collaborates with engineering and other departments to improve geospatial data quality, accessibility, and analysis.

Design and maintain a centralized SQL Server database, data model, and Python/SQL ETL pipelines integrating business systems such as NetSuite, Arena, ION, and Jira. Build Power BI dashboards and KPI reports, support NetSuite customizations, and partner with cross-functional teams to deliver integrations and technical solutions. The role also promotes data quality, governance, documentation, and change control.

Coordinates data management, quality improvement, performance measurement, and program evaluation for the Prevention and Advocacy Division. Collects, analyzes, and reports program data; maintains accurate databases; develops dashboards and reports; supports audits and regulatory reporting; monitors data quality; and identifies process improvements. Collaborates with leadership, internal teams, external stakeholders, committees, and workgroups to improve program outcomes and ensure compliance with data security and reporting standards.

Provides database and marketing analytics support for casino player-tracking systems. Responsibilities include building offers, maintaining data quality, preparing direct-mail and digital marketing lists, creating reports and ad-hoc analyses, writing SQL queries and scripts, automating data exports, supporting ETL, maintaining audit logs, and providing data-driven recommendations for player retention and acquisition. The role is fully on-site and may require nights, weekends, and holidays.

Build and maintain Snowflake data infrastructure using dbt, including scalable data models, dimensional models, data marts, and ELT/ETL pipelines. Implement data quality, governance, lineage, documentation, and performance optimization practices. Collaborate with analysts and business stakeholders to translate requirements into reliable analytics solutions while applying software engineering practices such as testing, version control, peer review, and CI/CD.

Build and optimize real-time and batch data pipelines, integrations, data warehouses, ETL processes, and reconciliation systems. Develop complex SQL queries, APIs, analytic reports, and data tools while supporting production pipelines and troubleshooting data integrity issues. Partner with architects, analysts, developers, and cross-functional teams to improve data reliability, quality, scalability, and accessibility across cloud and on-premises environments.

Supports Business Compliance projects through data extraction, analysis, validation, reconciliation, reporting, and process documentation. The intern will work with SAP data and analytics platforms including Power Query, Alteryx, and Databricks Genie Rooms, validating dashboards and reporting against source data. The role provides experience in business intelligence, data visualization, generative AI prompting, and data-driven decision-making while collaborating with compliance teams and documenting procedures and reporting logic.

Lead master and reference data strategy, governance, operating models, and platform modernization for Everest’s global insurance business. Define requirements, target architecture, ownership, stewardship, controls, workflows, data quality standards, lineage, reconciliation, and regulatory practices. Partner with business and technology stakeholders to implement trusted records, hierarchies, taxonomies, automation, and governed self-service. Oversee operations, issue management, reporting, adoption, and continuous improvement across enterprise data platforms and products.

Lead Databricks engineering efforts for enterprise-scale data and analytics platforms in hybrid cloud environments. Design, develop, integrate, and maintain data solutions; resolve technical issues; guide architecture and engineering teams; ensure data quality and observability; coordinate client installations; manage expectations; contribute to product roadmaps; and support deployment, maintenance, modernization, and troubleshooting at customer and Navy sites.