Top Data & Analytics Jobs

Lead design and delivery of an enterprise Azure Databricks Lakehouse platform, migrating from Azure SQL Server. Set data platform strategy, mentor data engineers, ensure cloud-native ETL/ELT, reliability, observability, and support analytics/AI/ML. Manage portfolio, budget, vendors, and stakeholder alignment to deliver a single source of truth for insurance domains.

Lead teams building enterprise analytic data products and pipelines to support AI/ML and BI. Drive data strategy, operationalize scalable secure solutions, mentor engineers, establish processes, and partner with stakeholders to deliver data platform capabilities and prototypes.

Own CRM data integrity, build and maintain revenue dashboards and reports, conduct ad-hoc analysis, support sales and marketing operations, enforce data governance, and automate recurring reporting to inform leadership and improve pipeline health.

Develop, maintain, and optimize BI reports and dashboards (primarily Power BI) by querying large data sets with SQL, translating business requirements into technical specs, creating wireframes, conducting demos and testing, troubleshooting data quality, and delivering actionable visualizations and insights to stakeholders.

Lead development of pricing models, demand forecasts, and dashboards to inform primary and secondary market ticket pricing. Partner with marketing, ticketing, and event leadership to align promotions, manage inventory, ensure data quality, and drive strategy across PGA TOUR events.

Execute regional revenue, pricing, and promotional strategy across a seven-state territory. Create and review price change requests, align regional recommendations with national strategy, perform revenue and price-ROI analyses, communicate with field sales, and run weekly pricing checkpoints to optimize financial performance.

Lead development and delivery of operational Receivables reports, dashboards, and analytics. Improve KPI visibility, data integrity, and automation across Collections, Cash Applications, Credit, and Accounts Receivable. Build scalable BI solutions, validate multi-system data, standardize reporting governance, partner with Finance and operational stakeholders, and provide actionable insights to drive performance improvements.

Lead design, development, and support of enterprise data management solutions including data modeling, ETL, warehousing, and data quality. Partner with data owners, stewards, technology and business stakeholders to resolve data issues, enable trusted data for Credit Risk, and mentor others while working with very large datasets and big data technologies.

Design, build, and operate ingestion and transformation pipelines into Salesforce Data Cloud; model and resolve identities; integrate enrichment sources and Databricks; ensure data quality, governance, and documentation to support analytics and Agentforce AI agents.

Design and maintain scalable data pipelines and unified data models for marketing measurement. Build BI dashboards, reporting frameworks, and semantic layers. Implement data governance, quality checks, and anomaly detection. Perform measurement, attribution, forecasting, and audience segmentation. Support AI-enabled and conversational analytics, generate automated insights, and present findings to stakeholders.