Top Remote Business Intelligence (BI) Jobs in Lexington, KY

Lead and develop teams for hands-on labs, improving learning strategies and operational efficiency while collaborating across departments. Shape the future of technical learning and manage production operating models.

The Senior Business Analyst will lead end-to-end process discovery and define workflows utilizing AI and automation to improve operational efficiency.

The Business Systems Analyst works with internal partners to enhance software platforms, manage templates, and translate business needs into product requirements. Responsibilities include producing clear documentation, collaborating on product roadmaps, and prioritizing features in software development, ensuring quality and compliance in a healthcare environment.

The Sr. Business Intelligence Engineer leads BI development, governs Power BI architecture, mentors developers, and ensures reliable reporting and documentation, while managing metrics and improving automation.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

The Senior Principal Data Solutions Partner leads client relationships, driving data-driven strategies for enterprise accounts, collaborating across teams to optimize performance and deliver insights that enhance business outcomes.

The Business Analyst III role involves analyzing global tax requirements, working with stakeholders to create functional specifications, and utilizing AI tools for data analysis.

As a Sr. Engineering Insights Analyst, you'll analyze engineering data, create dashboards, and drive insights to improve engineering processes, productivity, and reliability. Collaboration with engineering teams is key to defining metrics and ensuring data quality.

The Data Analyst will build KPIs and dashboards in Power BI, analyze complex datasets, and provide actionable insights to stakeholders, mentoring junior analysts.

The Director of Data Strategy and AI leads data and AI initiatives to enhance analytics programs, drives client strategy, and ensures effective AI product deployment. Responsibilities include managing cross-functional teams, supporting new business development, and overseeing technical infrastructure for analytics and internal tools while facilitating communication between technical and business stakeholders.