Lead Data Analyst

• 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.

• 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

Key Technical Skills

• Primary: SQL, data modeling, database design, data architecture, data mining, segmentation techniques, advanced statistical methods, data profiling, data quality management, ETL frameworks, Snowflake, Power BI, Cognos, Tableau, Business Objects
• Secondary: scripting/programming, Microsoft Fabric, P&C Insurance
• Core: data analysis, leadership, stakeholder management, communication

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