Lead Data Analyst

American Family Insurance • Boston, MA

2d • Hybrid

About The Position

You will provide analytics services to the business. You will be responsible for lead analytics for AI/ML programs—define success metrics, data needs, experiments, and monitoring—to measure growth and model performance. Partner with Data Science, Product, Engineering, and partners to provide interpretable solutions, governed datasets/pipelines, and dashboards on model health, adoption, and bias. Set best practices, mentor analysts, and communicate executive-ready insights.

Position Compensation Range: Pay Rate Type: Salary Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Requirements

• Demonstrated experience providing customer-driven solutions, support or service.
• Solid knowledge and understanding of forecasting techniques or statistical analysis or data modeling or data mining.
• Demonstrated experience utilizing software tools to query and report data.
• Demonstrated experience with a variety of standard reporting software packages and best practices for report deployment processes.
• Demonstrated experience communicating/presenting complex and independent concepts and unbiased fact-based decision-making and financial performance.
• Demonstrated experience developing complex data sets for wide-spread use.

Nice To Haves

• You should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783; Boston, MA 02110

Responsibilities

• Works with business partners in the development and delivery of key performance analysis and reporting.
• Builds and maintains various models used to project business results; enhances the model where there is business value in adjusting the models.
• Ensures analysis and reporting accuracy and integrity and explains performance drivers and provides insights into performance trends.
• Creates, executes and maintains forecasting models; speaks to the underlying assumptions and inter-workings of the model used to create the forecast.
• Communicates findings to various stakeholders and leadership with recommendations for actions to address business changes, trends, and issues.
• Evaluates, designs, tests and maintains data/analytics systems and make recommendations for new tools and system enhancements.
• Develops, tests, and deploys complex automated reporting solutions and automated decision analytics to replace manual business processes.
• Develops and defines standard analytics and reporting governance and communication and ensures adherence to standards.
• Lead end-to-end analytics and experimentation for AI/ML programs. This includes use-case discovery, Measurement definition, data requirements, measurement plan, and post-launch monitoring. The goal is to measure growth and model performance.
• Partner with Data Science, Product, Engineering, and partners to translate AI problems into clear analytical questions.
• Define success metrics, such as/recall, drift, and fairness, and ensure solutions are interpretable and applicable.
• Develop scalable datasets, feature/label definitions, and analytical pipelines; ensure data quality, lineage, and governance readiness for AI products.
• Develop dashboards and recurring insights on model health and adoption (performance, stability, bias, customer outcomes), and flag risks/opportunities.
• Establish best practices for AI analytics: documentation, reproducible analysis, experiment design, metric standards, and model monitoring/validation requirements.
• Mentor analysts and influence standards across the team; communicate insights to executives through crisp narratives, visuals, and recommendations.

Benefits

• Relocation support is offered for eligible candidates.
• comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health.
• a competitive 401(k) contribution
• a pension plan
• an annual incentive
• 9 paid holidays
• a paid time off program (23 days accrued annually for full-time employees).
• student loan repayment program
• paid-family leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed