Data Analyst Lead

Data Analyst

Lead

Location: Brookfield, WI, US

Industry: Financial Services

Work Setting: Onsite

Are you passionate about leveraging advanced analytics to influence executive decision-making, improve operational performance, and deliver data-driven business outcomes? We are seeking a Senior Data Analyst to serve as a strategic analytics partner to Claims Leadership, transforming complex data into actionable insights, forecasts, KPI frameworks, and performance improvement recommendations.

The Senior Data Analyst leads sophisticated quantitative and qualitative analyses to support strategic and operational decision-making within the Claims organization. This role combines business intelligence, statistical analysis, forecasting, data visualization, stakeholder consulting, and storytelling to drive performance optimization, operational efficiency, and business growth.

Key Responsibilities

Advanced Analytics & Business Insights

• Lead complex quantitative and qualitative analyses to identify trends, patterns, risks, and opportunities.
• Translate large, complex datasets into actionable business recommendations.
• Deliver data-driven insights that support executive decision-making and operational improvements.
• Evaluate business performance and identify key drivers of success and improvement opportunities.
• Serve as a trusted advisor to Claims Leadership and business stakeholders.

KPI Development & Performance Management

• Design, develop, and maintain key performance indicators (KPIs) and measurement frameworks.
• Create operational scorecards and performance monitoring solutions.
• Track business performance against organizational goals and strategic objectives.
• Develop metrics that drive accountability and continuous improvement.
• Help leadership understand operational performance through meaningful reporting and analysis.

Reporting, Dashboards & Visualization

• Build executive-level dashboards, visualizations, and analytical reporting solutions.
• Leverage data visualization best practices to communicate complex information effectively.
• Develop reports that:
• Highlight performance trends
• Identify operational inefficiencies
• Support decision-making
• Recommend corrective actions
• Present findings through compelling visual storytelling techniques.
• Ensure reporting solutions remain accurate, scalable, and actionable.

Root Cause Analysis & Problem Solving

• Conduct deep-dive root cause analyses (RCA) to identify performance drivers and operational issues.
• Investigate emerging business trends, anomalies, and operational challenges.
• Apply analytical frameworks to diagnose problems and recommend solutions.
• Support continuous operational improvement through evidence-based recommendations.
• Use business context and analytical rigor to uncover underlying causes of performance changes.

Forecasting & Predictive Analytics

• Develop forecasts, projections, and predictive models that support strategic planning.
• Apply advanced analytical methodologies including:
• Forecasting
• Regression Analysis
• Statistical Modeling
• Segmentation Analysis
• Trend Analysis
• Convert analytical findings into forward-looking business recommendations.
• Support planning processes through data-driven forecasting and scenario analysis.

Experimentation & Statistical Analysis

• Design and analyze experiments, pilot programs, and testing initiatives.
• Conduct:
• Hypothesis Testing
• Statistical Significance Analysis
• Confidence Interval Analysis
• Impact Measurement
• Deliver actionable insights and recommendations from experimental results.
• Promote analytical rigor in business decision-making.

Cross-Functional Business Partnership

• Collaborate with:
• Claims Leadership
• Reporting Teams
• Data Science Teams
• Business Operations
• Client Advocacy Teams
• Data Engineering Teams
• Gather business requirements and translate them into analytical solutions.
• Participate in cross-functional initiatives addressing strategic business challenges.
• Communicate technical findings to both technical and non-technical audiences.

Analytics Leadership & Mentorship

• Coach and mentor peers on analytical methodologies, reporting standards, and best practices.
• Promote a culture of learning, curiosity, and data-driven decision-making.
• Share expertise in analytics, visualization, and business intelligence techniques.
• Help improve organizational analytical maturity and capabilities.

Data Governance & Documentation

• Develop and maintain:
• Data dictionaries
• KPI definitions
• Metric documentation
• Event mappings
• Reporting requirements
• Partner with Data Engineering teams to ensure metric consistency and data integrity.
• Support automation and modernization of reporting processes.
• Ensure compliance with data governance, privacy, and security requirements.

Required Qualifications

• Bachelor's degree in:
• Computer Science
• Mathematics
• Statistics
• Business
• Economics
• Related analytical discipline
• 6+ years of professional analytics experience.
• 5+ years of experience developing analytics models, reports, dashboards, and business insights.
• 7+ years of experience in:
• Data Analytics
• Statistical Analysis
• Forecasting
• Research & Analysis
• Business Intelligence
• Proven ability to support business decision-making through analytics.
• Strong presentation and communication skills.
• Experience influencing leadership through data-driven recommendations.

Technical Skills

Analytics & Statistical Modeling

• Statistical Analysis
• Regression Modeling
• Forecasting
• Predictive Analytics
• Segmentation Analysis
• Hypothesis Testing
• Root Cause Analysis
• KPI Development

Data Management & Querying

• SQL
• SAS
• SPSS
• Advanced Excel
• Data Extraction & Transformation

Business Intelligence & Visualization

• Power BI
• Tableau
• Dashboard Development
• Executive Reporting
• Data Visualization
• Data Storytelling

Business Analysis

• Process Improvement
• Business Performance Analysis
• Operational Analytics
• Strategic Planning
• Decision Support
• Requirements Gathering

Leadership & Communication

• Executive Presentations
• Cross-Functional Collaboration
• Stakeholder Management
• Mentoring & Coaching
• Strategic Consulting
• Storytelling with Data

Key Skills

• Data Analytics
• Business Intelligence
• SQL
• SAS
• SPSS
• Power BI
• Tableau
• Forecasting
• Statistical Modeling
• KPI Reporting
• Root Cause Analysis
• Predictive Analytics
• Data Visualization
• Business Analysis
• Executive Reporting
• Process Improvement
• Stakeholder Management
• Storytelling with Data
• Claims Analytics
• Strategic Decision Support