Lead Data Analyst

American Family Insurance•Boston, MA

1d•Hybrid

About The Position

This position provides analytics services to the business, delivering insights, measurement frameworks, and data-driven recommendations that support strategic decision-making across key initiatives. You will lead analytics efforts across a diverse portfolio of business programs, including AI/ML initiatives, product enhancements, operational improvements, and customer experience efforts. Partner with Data Science, Product, Engineering, and business stakeholders to deliver interpretable analyses, governed datasets and pipelines, and actionable reporting solutions. Develop dashboards and monitoring frameworks that track business outcomes, operational performance, and, where applicable, model health, adoption, and fairness metrics. Establish analytics best practices, mentor analysts, and communicate executive-ready insights and recommendations that drive measurable business value.

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.

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.