Top Senior Analysis Reporting Jobs in Louisville, KY

Lead AMS360 data conversion projects: analyze source data, develop field-level mappings, execute and validate test conversions, reconcile data quality issues, use agentic AI to accelerate mapping/validation, maintain documentation, and support go-live activities under aggressive timelines.

Design and build a modern data foundation: develop and scale ETL/ELT pipelines, dbt models and macros, semantic/metric layers, and analytical apps. Ensure pipeline reliability and observability, document systems, gather stakeholder requirements, and contribute to cross-functional analytics and ML initiatives.

Lead data-driven initiatives to analyze complex datasets, build dashboards, present insights to leadership, and drive continuous improvement projects to improve operational performance and inform strategic decisions.

Build and operate Databricks-based lakehouse pipelines (medallion/Data Vault 2.0), resolve identity across systems, enable near-real-time CDC, integrate external partners, add observability, and partner with AI/product teams to deliver trustworthy data for BI, ML, and in-product features.

Lead translation of complex mortgage servicing business needs into scalable data and technology solutions. Perform business and data analysis, create user stories and system specifications, lead data mapping and system conversions, validate data models, support ETL/ELT and reporting, and collaborate with product, data engineering, architects, and software teams to enable data-driven decision-making.

Serve as the technical authority for the Enterprise Data Platform, defining enterprise data architecture, canonical data and semantic models, externalization and API principles, and AI/knowledge-graph ready designs. Lead solution architecture, govern semantic layers and Collibra integration, chair architecture reviews, shape technology roadmap, and partner with platform and trust teams to ensure consistent, governed data products across delivery teams.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

The Director of Underwriting will lead the underwriting team, manage teams, develop skill sets, maintain relationships with partners, and present data insights.

The Senior Product Data Analyst will lead analytics projects, providing strategic insights into SaaS product usage and customer behavior, while collaborating with various teams to drive business outcomes and improve product features.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.