Top Data & Analytics Jobs

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.

Design and implement scalable data solutions using Microsoft Fabric and Azure. Build and orchestrate ETL/ELT pipelines, develop Power BI reports and DAX, optimize T-SQL and KQL queries, model data for Lakehouse/warehouse architectures, integrate varied data sources with Spark/PySpark, automate processes, ensure governance and security, and troubleshoot pipeline issues.

Analyzes spatial and raster data, prepares and maintains GIS datasets, configures Esri web mapping applications, designs maps, and automates workflows. The role also involves client collaboration, technical documentation, troubleshooting, and mentoring teammates on geospatial tools and best practices.

Leads custom quantitative and qualitative market research projects from questionnaire and screener development through data collection, validation, analysis, reporting, and presentation. Serves as primary client contact, manages vendors, timelines, costs, and project risks, mentors junior researchers, and translates findings into actionable strategic insights. The role is fully remote with occasional travel for in-person interviews.

Leads ticket and subscription revenue management, pricing, forecasting, sales reporting, and audience analytics. Develops dynamic pricing, inventory, promotion, subscription, and revenue strategies; builds forecasts, dashboards, and reports; analyzes customer behavior and sales performance; and translates data into recommendations for marketing, programming, finance, and sales. Manages relationships with analytics and pricing partners while coordinating cross-functional program setup and improving analytical capabilities.