Senior Insights Analyst - Data Analytics

Assurant•Miami, FL

3h•$88,000 - $147,000

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 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 role combines hands-on analysis and modeling with project leadership, peer mentoring, and modernization of reporting and insight capabilities. It also supports data strategy and governance, advances the use of AI and machine learning, communicates data-driven recommendations, and partners across the business to develop advanced analytics products. Success includes independently delivering accurate and clearly communicated analysis, leading projects from scoping through delivery, presenting recommendations to senior or client audiences, improving reporting and governed self-service capabilities, delivering an adopted predictive or advanced analytics product, and mentoring teammates.

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, and Power BI, and with relational database software.
At least 7 years of experience in data analysis 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.
Willingness or ability to travel up to 10%.

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.
Track record of mentoring peers and creating a culture of curiosity, accountability, inclusion, and continuous improvement.

Responsibilities

Create clear presentations, visualizations, and dashboards that describe business opportunities and actionable recommendations.
Use internal and external tools, including Azure, Python, SQL, Excel, and Power BI, to transform data into insights and quantify opportunities.
Build studies using proactive data analysis and research to support decision-making.
Translate business challenges into predictive modeling opportunities and collaborate with stakeholders to define forward-looking questions.
Build and validate ad-hoc predictive models using techniques such as regression, time series forecasting, and classification.
Lead analytical projects, assist with project plans, conduct analysis and modeling, test hypotheses, present complex information in simplified terms, and identify next steps and future opportunities.
Mentor team members in technical proficiency, code reviews, and business acumen.
Collaborate with team members to prioritize multi-resource requests and deliver projects thoroughly and on time.
Participate in and help drive data modeling and governance best practices across Power BI, Microsoft Fabric, and related analytics environments.
Engage internal and external teams proactively to identify analytical needs.
Advance company-wide understanding and implementation of AI and machine learning, and help improve team practices using lessons from existing implementations.
Present compelling, data-supported 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, support growth, provide competitive advantage, and improve decisions.
Identify recurring reporting and manual processes for automation, consolidation, or migration to governed self-service analytics.
Contribute to standardized, governed, and documented Power BI and Fabric assets.