Senior Insights Analyst - Data Analytics

American Bankers Insurance Company of Florida•Miami, FL

About The Position

The Senior Insights Analyst is a hands-on individual contributor who turns complex data into clear, actionable recommendations for senior leaders, internal business partners, and external client audiences. The role works independently across the analytics lifecycle, shapes ambiguous business questions, mentors fellow analysts, and delivers trusted insights that influence decisions. The analyst leads high-visibility projects and insight deliverables supporting business performance, client relationships, operational strategy, and executive decision-making. The position balances hands-on analysis and modeling with project leadership, peer mentoring, and modernization of reporting and insight capabilities. The role uses internal and external analytics tools to identify and quantify opportunities, develop predictive insights, support data modeling and governance practices, communicate findings, and build advanced analytics products. Success includes independently delivering accurate, reproducible analysis; leading projects and presenting recommendations; improving governed reporting and self-service; and delivering adopted predictive or advanced analytics products.

Requirements

Master’s degree in Business Analytics, Statistics, Economics, Applied Mathematics, Computer Science, Information Management, or a related quantitative field; equivalent work experience may be considered.
At least 7 years of experience in business analysis, research, statistics, applied mathematics, data management, business intelligence, or a related field.
At least 7 years of experience with data science tools such as R, Python, SQL, Advanced Excel, or Power BI, and relational database software.
At least 7 years of data analysis experience that includes translating insights into recommendations.
At least 5 years of experience leading analytical projects.
Experience performing statistical analyses, including predictive modeling, time series analysis, exploratory data analysis, segmentation and cluster analysis, and retention analysis.
Advanced SQL skills, including complex joins, window functions, CTEs, data validation, and working directly with enterprise data warehouses.
Strong Power BI experience, including data modeling, DAX, semantic model development, and governed self-service analytics.
Working knowledge of cloud technologies such as Azure (Databricks, Azure ML, Cognitive Services) or Microsoft Fabric.
Advanced Excel skills and comfort using modern analytics, automation, and AI-assisted tools to improve productivity and documentation.
Strong written, verbal, and interpersonal communication skills, with the ability to communicate effectively at all organizational levels.
Strong data storytelling skills, including distilling complex information into understandable ideas, business implications, and recommended actions.
Strong analytical and research skills, an innovative approach to problem solving, and a track record demonstrating it.
Ability to work independently on all project types.

Nice To Haves

Degree in statistics, applied mathematics, operations research, economics, engineering, computer science, or a related quantitative field.
Experience working in the insurance industry.
Experience with Databricks, Azure, Python, R, Copilot, or Claude.
Experience modernizing legacy reporting, consolidating dashboards, defining KPI frameworks, and improving semantic models.
Hands-on use of AI-assisted coding, documentation, or analytics tools to accelerate analysis and responsibly automate recurring work.
A track record of mentoring peers and fostering curiosity, accountability, inclusion, and continuous improvement.

Responsibilities

Create clear presentations, visualizations, and dashboards that explain business opportunities and actionable recommendations.
Use tools such as Azure, Python, SQL, Excel, and Power BI to transform data into insights and quantify opportunities.
Conduct proactive data analysis and research to support decision-making.
Translate business challenges into predictive modeling opportunities in collaboration with stakeholders.
Build and validate ad-hoc predictive models, including regression, time series forecasting, and classification models.
Lead analytical projects from planning and scoping through analysis, modeling, hypothesis testing, presentation, and identification of next steps.
Present complex information in simplified terms to different audiences.
Mentor team members in technical proficiency, code reviews, and business acumen.
Collaborate with team members to prioritize multi-resource requests and complete projects thoroughly and on time.
Support and help drive data modeling and governance best practices across Power BI, Microsoft Fabric, and related analytics environments.
Proactively engage internal and external teams to identify analytical needs.
Advance company-wide understanding and implementation of AI and machine learning, and improve team practices using learnings from existing implementations.
Present data-driven business cases to optimize investments and operations.
Communicate with and educate technical and non-technical employees on analytics and data-driven decision-making.
Work cross-functionally with business owners to develop advanced analytics products that improve customer experience, capture growth opportunities, deliver competitive advantage, and improve decision-making.
Identify recurring reporting and manual processes for automation, consolidation, or migration to governed self-service.
Contribute to standardized, governed, and documented Power BI and Fabric assets.
Travel up to 10%.