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.