Top Data & Analytics Jobs

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.

Principal technical leader responsible for architecting and operating relational data marts, dbt data products, semantic layers, and shared data services. Builds scalable solutions in Databricks, Delta Lake, and Spark; owns data products through testing, deployment, documentation, monitoring, and support. Establishes governed metrics, data quality, lineage, observability, and access controls while partnering cross-functionally to resolve ambiguity. Mentors engineers, improves reusable frameworks, and supports BI, data science, and AI use cases.

Lead the architecture and development of scalable data pipelines and infrastructure. Clean, standardize, and model construction data; build tools for data quality and performance; design integration flows with product, engineering, and customers; apply Python, SQL, and ETL practices; and use AI/ML to improve data classification and mapping. Establish data governance and reliability standards in a high-ownership startup environment.

Analyzes affiliate ecommerce performance, translates data into actionable recommendations, develops dashboards and reporting, identifies growth opportunities, designs tests, and supports editorial, business development, and social teams. The role also maintains analytics processes, automates workflows, and leads ad hoc analysis during major commerce periods.

Leads commercial data infrastructure, business intelligence, reporting automation, AI-enabled analytics, data governance, and process improvement. Builds dashboards and analytical solutions for forecasting, pricing, profitability, customer segmentation, and market intelligence. Partners cross-functionally with sales, marketing, operations, supply chain, finance, and IT to improve data quality, streamline workflows, and replace manual processes. The role is fully on-site in Louisville, Kentucky, with travel of up to 20%.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.

Design and operate production-grade data pipelines, backend services, APIs, and agentic AI workflows. Build scalable systems that ingest, transform, and operationalize data for customer-facing and internal applications. Translate ambiguous operational workflows into reliable architectures, improve service observability and performance, and own technical decisions across data modeling, system design, security, and compliance.

Designs and implements scalable physical data models in Snowflake, translating conceptual and logical models into schemas, tables, and views. Collaborates with data engineering, architecture, governance, business, and technical teams on ETL/ELT, data integration, metadata, documentation, compliance, and pipeline optimization. Requires Data Vault 2.0, SQL, Snowflake, governance, and stakeholder management expertise, with pharmaceutical experience preferred.

Supports data gathering, analysis, reporting, dashboard development, process improvement, requirements documentation, solution testing, data cleanup, project tracking, and ad hoc analysis. Collaborates with senior analysts and business stakeholders to provide insights, validate solutions, maintain data integrity, and support business decisions.