Lead Data Analyst

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.
• Strong communication leadership and stakeholder management skills; experience in P&C Insurance is a plus.