Top Remote Analysis Reporting Jobs in Louisville, KY

Leads business analysis, advanced analytics, KPI development, data modeling, reporting automation, and AI/ML initiatives supporting global data-center construction and operational excellence. Builds datasets, dashboards, performance metrics, forecasts, and scenario models; translates complex findings for executives; aligns technology solutions with business needs; and promotes data governance, documentation, process improvement, and analytics maturity across cross-functional teams.

Sets technical direction and architectural coherence across Netflix’s Ads Data Engineering organization. The role guides cross-domain data system decisions, partners with engineering and business leaders, mentors data engineers, shapes platform-wide initiatives, and advances AI-native data engineering. Responsibilities span modern data foundations, ad-tech data flows, privacy and governance, platform migrations, scalable data products, and collaboration with Ads Platform Engineering, Data Science, and Product teams.

Owns production data systems end to end, including data models, ETL and API integrations, applications, platform maintenance, data quality, governance, and technical debt. Supports OPSDB and exploration operations, improves reliability and alerting, documents systems, collaborates with cross-functional and nontechnical stakeholders, and mentors junior analysts. The role also supports procurement and inventory initiatives, works with geologists, and requires occasional international travel to exploration sites.

Own Marketing’s reporting and analytics layer by building executive dashboards, defining KPIs, modeling data across GTM systems, and establishing governance and trusted sources of truth. Partner cross-functionally to measure funnel performance, attribution, campaigns, pipeline, and ROI. Help evaluate and develop AI-powered analytics, conversational reporting, automated insights, and intelligent visualization while translating complex data into actionable recommendations for leadership.

Drives data collection, analysis, KPI reporting, dashboard development, forecasting, and executive presentations. Builds standardized reporting processes, improves data quality, investigates metric fluctuations, and translates business requirements into actionable insights. Collaborates with cross-functional teams, leadership, vendors, and partners to prioritize information needs, maintain data integrity, automate reporting, and communicate findings effectively.

Leads complex data and reporting solutions across the product lifecycle. Partners with customers, engineers, architects, vendors, and project teams to gather requirements, build datasets, reports, and dashboards, analyze business problems, manage testing, resolve defects, assess risks, and deliver improvements. Provides subject matter expertise, strategic direction, customer communication, cost-benefit analysis, compliance oversight, and mentorship to data analysts.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.

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.