Top Analytics Jobs in Lexington, KY

Experienced data analyst needed to tackle supply chain analytics challenges at Dandy, a dental industry tech company. Responsibilities include developing insights, defining data language, facilitating decision making, mentoring analysts, and utilizing data for problem-solving. Ideal candidates have 3+ years of experience in operations analytics or data science, BA/BS in a quantitative field, strong SQL and Python skills, and the ability to communicate results effectively.

The System Field Analyst drives site performance from go-live to acceptance, focusing on system performance analysis, problem-solving, and collaboration with cross-functional teams. They ensure successful implementation of Symbotic systems, analyze data, document defects, and maintain a professional team environment.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

As a Quality Control Analyst, you will perform analytical testing and analysis in a lab environment, maintain records, ensure compliance with guidelines, and support the calibration of lab equipment. This entry-level role suits individuals with a background in life sciences and an understanding of laboratory processes.

The Continuous Improvement Analyst evaluates and improves business practices aimed at enhancing safety, quality, efficiency, and cost reduction. Responsibilities include identifying process improvement opportunities, facilitating value stream mapping, conducting root cause analysis, and developing performance metrics for departmental effectiveness.

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.

The Senior Analytics Engineer will design, develop, and maintain a high-quality data warehouse and analytics solutions, ensuring data pipelines are efficient and accurate. This role includes leading data model transformations, collaborating with cross-functional teams, and enabling self-service analytics to support data-driven decision making.