Top Remote Analysis Reporting Jobs in Louisville, KY

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Develops and maintains Tableau and Power BI dashboards, analyzes operational performance, automates data processes, and builds data pipelines using tools such as Alteryx, SQL, Excel, and Tableau Prep. Ensures data quality, governance, and documentation while delivering recurring and ad hoc reports. Partners with leaders to translate business needs into actionable insights, support KPIs, forecasting, process improvement, and AI/Copilot adoption, and communicates findings to technical and nontechnical stakeholders.

Develops and supports claims-related data pipelines, curated datasets, reporting layers, dashboards, and analytics assets. Partners with stakeholders to research data, clarify ambiguous requests, and design scalable solutions. Writes complex SQL, builds Power BI reports, and develops Databricks pipelines, transformations, workflows, and automation. Supports migration to Databricks and contributes to AI/ML and generative AI initiatives involving healthcare data.

Lead design and delivery of scalable, secure cloud data pipelines and products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0/dimensional), embed data quality, observability, security, and DataOps/CI-CD practices, optimize performance and cost, mentor engineers, and enable AI/ML-ready datasets within an agile DevSecOps model.

Build and maintain client-facing dashboards, embedded analytics, and reporting solutions using Power BI and related tools. Translate client needs into metrics, data models, visualizations, and insights. Validate data accuracy, support governance and privacy standards, document solutions, train users, and respond to reporting questions. Collaborate with data engineers, customer success, product, engineering, and business stakeholders while supporting AI-enabled reporting and predictive analytics for life sciences clients.

Leads the strategy, development, and delivery of client-facing reporting and analytics solutions for life sciences clients. Manages dashboards, automated reporting, self-service analytics, KPI standards, data governance, and reporting platforms using Power BI, SQL, Microsoft Fabric, and related tools. Translates commercial, medical, operational, claims, and prescription data into actionable insights while supporting client onboarding, executive readouts, project delivery, vendor performance, budgets, and cross-functional stakeholder collaboration.

Leads the organization’s spatial data capability by defining governance, standards, quality processes, and scalable delivery methods. Connects occupancy, utilization, and workplace data to business and real estate decisions; partners with technology teams on platform implementations and modernization. Advises clients, develops playbooks and thought leadership, improves service consistency, and supports practice growth through cross-functional, global leadership.

Supports DIRECTV FOR BUSINESS through KPI analytics, financial analysis, customer segmentation, and process improvement initiatives. The intern analyzes performance drivers, commitments, projects, and customer experience impacts; synthesizes insights into data stories; documents processes; and presents findings to leaders. The role involves cross-functional virtual collaboration and requires proficiency in Excel, PowerPoint, Python, SQL, Power BI, and data visualization.

Leads enterprise strategy, architecture, delivery, governance, and operations across data, analytics, information management, automation, AI, and GenAI. Drives transformation toward governed data foundations, reusable data products, data marketplaces, self-service analytics, and responsible AI. Oversees platforms, pipelines, dashboards, automation initiatives, budgets, vendors, and senior technical teams while partnering with business, Legal, Compliance, Quality, and Security. Builds training, adoption, stewardship, and change-management programs across a global life sciences organization.

Design and govern end-to-end data architecture for an integrated supply-chain e-commerce platform: create data models, build scalable ETL/ELT pipelines, ensure GDPR-compliant data governance, enable real-time analytics, optimize databases, plan retention/archival, and prepare data for LLM fine-tuning and RAG use cases.

Support design, development, and maintenance of data pipelines and infrastructure. Assist with ETL/ELT workflows, data ingestion, cleaning, validation, modeling, and warehousing. Document processes and collaborate with data teams to support analytics use cases.

The Senior Data Analyst will deliver quantitative insights and strategic recommendations for Customer Success Commercial Operations. Responsibilities include analyzing user behavior, developing commercial models and forecasts, translating business needs into actionable analyses, communicating findings to executives, and building scalable, reproducible data assets using complex SQL and code-based workflows. The role also supports go-to-market strategy, retention initiatives, revenue planning, operational decisions, product roadmaps, and mentorship of junior analysts.