Lead Data Analyst

Lead Data Analyst Location: Burlington, Wisconsin, USA Job Type: Full-time Work Arrangement: Hybrid Salary Range: $108,160–$162,240 per year, with higher geographic pay ranges potentially applicable based on location

About the Role

An opportunity is available for a Lead Data Analyst to turn complex data into actionable insights that support business decisions, operational improvements and strategic planning. The role focuses on claims analytics, performance reporting, data visualisation and collaboration with business leaders.

The successful candidate will provide analytical direction, develop reporting solutions and dashboards, identify trends and root causes, and mentor colleagues in data analysis best practices.

Key Responsibilities

• Lead complex quantitative and qualitative data analysis to identify patterns, trends and business opportunities.
• Gather and analyse data from multiple internal and external sources.
• Develop forecasts, reports, dashboards and visualisations that communicate insights clearly.
• Present findings and recommendations to business leaders and cross-functional stakeholders.
• Create reports tracking key performance indicators, identifying operational improvements and investigating root causes.
• Translate business needs into analytical deliverables, reporting requirements and KPI frameworks.
• Provide analytical consultation and contribute to cross-functional projects addressing business challenges.
• Coach and mentor colleagues on analytical methodologies, standards and best practices.
• Use data, statistical techniques and business knowledge to inform forecasts, recommendations and strategic plans.
• Identify opportunities to improve processes, analytical capabilities and business outcomes.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, Business or a related field.
• At least 6 years of professional experience, with 7+ years of relevant research and data analysis experience specified in the role requirements.
• At least 5 years of experience developing analytical models, visualisations and business insights.
• Strong experience with SQL and analytical tools such as SAS, Microsoft Excel, SPSS or equivalent platforms.
• Experience with data visualisation tools such as Tableau or Power BI.
• Ability to apply data visualisation best practices and provide design direction.
• Strong analytical thinking, statistical analysis, problem-solving and data interpretation skills.
• Ability to communicate complex findings through clear reports, presentations and data storytelling.
• Experience collaborating across teams and translating business questions into actionable recommendations.

Compensation and Benefits

• Published annual salary range of $108,160–$162,240, with location-dependent ranges potentially reaching $186,600.
• Comprehensive benefits.
• Flexible work schedules.
• Concierge services.
• Employee resource groups.
• Final compensation may depend on experience, skills, work location and other relevant factors.