Analytics Lead

Responsibilities

• Design, develop, and oversee dashboards, KPIs, and reports that provide actionable insights to leadership.
• Partner with departments like underwriting, Finance, or Operations to build a unified, data-driven culture.
• Drive advanced analytics initiatives including predictive modeling, segmentation, trend analysis, and automation.
• Ensure data accuracy, governance, and adherence to regulatory and compliance requirements.
• Support enterprise-wide data initiatives including cloud analytics platforms, data warehouses, and self-service BI tools.
• Establish best practices for analytics development, documentation, and quality assurance.

Requirements

• Bachelor's degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, Finance, or a related field.
• 6+ years of experience in analytics, business intelligence, or data science roles.
• Strong proficiency in SQL and experience with BI tools such as Power BI, Tableau, or similar platforms.
• Proven ability to use data to identify business opportunities, solve complex operational challenges, and influence company strategy.
• Exceptional communication skills. "Tell a story" with data, making complex insights easy for non-technical stakeholders to understand.
• Experience managing the full lifecycle of analytics initiatives, from initial discovery to final delivery and measurement of business impact.
• A deep understanding of business drivers and how to track them via KPIs.

Qualifications

• Preferred Experience in insurance, financial services, or a highly regulated industry.
• Advanced degree in Data Science, Analytics, MBA, or related field.
• Familiarity with cloud platforms such as Azure or AWS.
• Experience with predictive modeling, machine learning, or statistical analysis tools (Python, R, SAS).
• Strong change management and stakeholder engagement skills.

Pay

The expected salary range for this role is $114,700-$135,000/year. Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.

Schedule

This role may operate in a hybrid or office-based environment depending on business needs and location. Collaboration across cross-functional teams is essential.