Top Analysis Reporting Jobs in Louisville, KY

The Business Intelligence Engineer analyzes complex internal and external data to solve business problems and deliver actionable insights to decision-makers. Responsibilities include integrating, analyzing, summarizing, and presenting data; conducting root cause analysis; using SQL, SAS, Databricks, and advanced Excel; and supporting data-driven business decisions. This is a remote role with occasional travel for training or meetings.

Analyze digital campaign performance across channels, develop dashboards and reports, validate tracking and metrics, and provide data-driven optimization recommendations. Collaborate with media and account teams, present insights to clients, conduct ad hoc analyses, and apply analytics, statistics, and digital marketing expertise to improve campaign outcomes.

Directs institutional research, assessment, accreditation reporting, regulatory compliance, and data-informed planning for the university. Analyzes enrollment, academic, financial, and student-success data; produces reports, dashboards, and visualizations; supports institutional effectiveness and strategic planning; improves data quality and reporting processes; and advises university leaders and departments on data interpretation, assessment, and continuous improvement.

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%.

Designs and manages Databricks-based data platforms, develops and tests ETL/ELT pipelines, implements data quality controls, integrates APIs and data sources, monitors workflow performance, and documents data architecture. The role collaborates with stakeholders and cross-functional teams to deliver reliable data solutions, with opportunities to guide QA engineers and support Scrum ceremonies.

The Sales Data Coordinator manages US distributor-reported sales and master data within VIP SRS. Responsibilities include maintaining data integrity, auditing depletion reports, resolving discrepancies, managing customer and product hierarchies, supporting sales routing and call point management, and coordinating with IT, distributors, vendors, and sales teams. The role also drives data enrichment, governance, access management, reporting improvements, and data quality processes.

Senior Informatica Developer responsible for development (70%) and support (30%) of ETL/MDM solutions. Build error-handling frameworks with Autosys/Control-M/Tidal, configure PowerCenter grid, use IDQ and Informatica MDM/Cloud, perform performance tuning, Unix scripting, Teradata/SQL work, and data cleansing/profiling/standardization.

Lead architecture, design and implementation of Microsoft BI solutions (SSAS/SSIS/SSRS). Manage BI modules, plan and maintain projects, gather requirements, produce functional specs, direct offshore teams, mentor analysts, control scope/change, and ensure delivery. Healthcare domain experience preferred.

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Supports DHA MEPRS cost-accounting activities through recurring data processing, validation, reconciliation, analysis, reporting, and customer support. Extracts and analyzes personnel, workload, financial, and other datasets using SAS, Excel, and reporting repositories. Investigates data-quality issues, troubleshoots root causes, documents findings, develops recurring and ad hoc analytical products, communicates results, and improves or automates processes.