Top Remote Data Analysis Jobs in Lexington, KY

As a Senior Data Analyst, you will translate business requirements into technical data specifications, manipulate large datasets, and support data initiatives while partnering with clients and teams to improve data quality and governance.

The Senior Product Analyst role involves data analysis, A/B testing, generating insights, and collaborating cross-functionally to enhance product strategies.

The Data Analyst will analyze telemetry and operational data in critical infrastructure environments, providing insights for incident management and operational performance improvement.

As an Energy Analyst, you will manage demand response programs in NYISO and PJM, monitor compliance, track client performance, and prepare market intelligence. This role requires strong analytical skills and interaction with various teams.

Data Analyst role involves partnering across teams to develop analytical solutions, building dashboards, and managing analytics projects end-to-end, with 7+ years of experience required.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

Lead mechanistic modeling (PBPK/QSP) to support IND-enabling decisions and FIH dose selection; integrate preclinical, biomarker, and early clinical data; oversee population PK/PKPD and exposure-response analyses; contribute to regulatory submissions; mentor staff and build internal pharmacometrics capabilities while partnering cross-functionally.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Quantitative Trader will enhance AI systems through expert input on quantitative trading strategies, market modeling, and data evaluations while collaborating with technical teams.

Analyze contracts and forecast revenues using data analytics. Present reports to management, track reimbursement and negotiate with payers. Maintain databases and ensure data integrity.