Lead Data Analyst

Role: Lead Data Analyst - P&C Insurance.

Location: Cincinnati, OH

Duration: Long Term

Responsibilities

• Lead end-to-end data analysis initiatives and guide a team of analysts to deliver high‑quality, actionable insights.
• Interpret complex datasets using advanced analytical and statistical techniques, present findings to senior leadership.
• Define and implement analytics strategies, KPIs, and reporting frameworks aligned to business goals.
• Design, build, and oversee scalable data models, databases, and data pipelines to ensure efficiency and accuracy.
• Drive data acquisition from multiple sources and ensure robustness, governance, and data quality standards.
• Identify trends, patterns, and anomalies in large datasets to support decision‑making and process improvement.
• Review, validate, and standardize data cleansing, profiling, and validation processes across analytics workstreams.
• Partner closely with business and technology stakeholders to prioritize requirements and translate them into solutions.
• Lead continuous improvement initiatives and adoption of modern analytics platforms and tools.

Requirements

• Proven experience as a Data Analyst Lead with ownership of complex analytics projects.
• Strong expertise in data modeling, database design, data architecture, data mining, and segmentation techniques.
• Solid understanding of advanced statistical methods (regression, hypothesis testing, distributions, etc.).
• Experience with data profiling, data quality management, and metadata‑driven processes.
• Strong hands-on experience in gathering requirements and developing source to target mapping documentation.
• Must have experience in defining data elements, transformation and business rules.
• Proficiency in SQL, databases, and data integration or ETL frameworks; exposure to scripting/programming is a plus.
• Experience working with large-scale datasets and distributed computing technologies such as Snowflake
• Advanced hands‑on experience with Power BI, Cognos, Tableau, Business Objects, or similar reporting and visualization tools.
• Knowledge or hands‑on experience with Microsoft Fabric is desirable.