Top Data & Analytics Jobs

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.

Owns B2B pipeline and B2C growth analytics, including attribution, acquisition, registration funnels, organic search, forecasting, dashboards, experimentation, and marketing measurement. Partners with marketing, sales, product, data engineering, and leadership to define metrics, improve tracking, deliver actionable insights, and support data-driven decisions. The role also contributes to dbt models, semantic-layer development, analytical quality standards, and mentoring.

Build and maintain marketing data pipelines connecting Salesforce, Marketo, and cloud data warehouses. Automate campaign reporting, develop SQL datasets and views, improve attribution and data quality, support CRM and marketing automation configuration, and document data models and processes. Use AI tools such as Claude to accelerate analytics workflows while ensuring reporting accuracy. Partner with Marketing Analytics, Demand Generation, and Marketing Operations to support executive-level pipeline reporting.

Leads requirements gathering, future-state process design, and scope definition for global product master data workstreams. Improves process efficiency, data quality, governance, and scalability through cross-functional stakeholder collaboration. Supports workflow definition, user stories, acceptance criteria, backlog readiness, prioritization, rollout activities, change management, and delivery handoffs. Uses SQL and enterprise data integration knowledge to validate and analyze structured data while supporting ERP-related processes and regional expansion.