Data Analytics Manager – Insights

Assurant

. Lead a small team of analysts supporting business performance, client relationships, operational strategy, and executive decision-making .

Posted 9/21/2026full-timeMiami • Florida • United StatesSeniorLead💰 $103,800 - $173,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading analytical projects, translating complex data into actionable business insights, and managing team dynamics to drive performance and quality in analytics outputs. Proficient in SQL, Power BI, and Microsoft Fabric, with a strong focus on data governance and stakeholder engagement.

Highest-signal resume keywords

Advanced SQL SkillsPower BI Data ModelingMicrosoft Fabric KnowledgeAnalytical Project LeadershipData Governance Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPower BIData ModelingDAXData ValidationExcelPredictive ModelingTime Series ForecastingAgile DeliveryData Analysis

Soft Skills

Communication SkillsData StorytellingInfluencing DecisionsTeam LeadershipStakeholder Management

Tools & Technologies

Microsoft FabricDatabricksApache SparkAI-Assisted ToolsAutomation Tools

Industry Keywords

Business AnalyticsData ManagementClient OperationsInsuranceOperational Strategy

Tech Stack

Tools & technologies

ApacheAzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

Lead a small team of analysts supporting business performance, client relationships, operational strategy, and executive decision-making
Lead analytical projects end to end, from problem framing and project planning through data discovery, analysis, validation, insight development, and recommendations
Translate open-ended business questions into analytical approaches, data plans, and measurable answers
Identify trends, root causes, risks, opportunities, and performance drivers across operations, client portfolios, and strategic priorities
Present complex findings to senior leaders and external client audiences with clear recommendations and business implications
Own accuracy, reconciliation, reproducibility, documentation, and consistency of analytics outputs
Coach and develop analysts through goals, feedback, performance conversations, technical review, and development opportunities
Review SQL, data models, dashboards, analytical approaches, and recommendations
Manage workload and capacity across competing priorities
Support hiring, onboarding, retention, and talent development
Drive standardization, automation, reuse, data modeling, metric definition, documentation, quality controls, and governance across Power BI, Microsoft Fabric, and related environments
Partner with Data Engineering, IT, Security, business teams, and analytics groups on scalable, secure, documented, production-ready solutions
Establish standards for data privacy, access controls, testing, release readiness, issue resolution, and responsible AI-assisted analytics
Modernize legacy reports, reduce duplication, improve performance, and increase adoption of governed self-service analytics
Own team intake and prioritization, aligning requests with business value, urgency, capacity, and leadership priorities
Engage internal and client-facing teams to identify analytical needs and shape high-value use cases
Stay current with insurance, protection and support services, analytics, BI technology, Microsoft Fabric, and responsible AI trends

Requirements

What you’ll need

Bachelor’s degree in Business Analytics, Statistics, Economics, Applied Mathematics, Computer Science, Information Management, or a related quantitative field; equivalent work experience may be considered
7+ years of experience in analytics, business intelligence, reporting, data management, research, or a related data-focused field
2+ years of experience formally leading, supervising, or managing analysts, or equivalent experience leading analytical work through others
Ability to translate complex analysis into recommendations that influence business decisions
Experience leading analytical projects from intake and scoping through delivery, presentation, adoption, and follow-up
Experience managing competing stakeholder priorities, team capacity, timelines, quality standards, and delivery expectations
Advanced SQL skills, including complex joins, window functions, CTEs, performance tuning, data validation, and enterprise data warehouses
Strong Power BI experience, including data modeling, star schema design, DAX, semantic model development, row-level security, report performance tuning, and governed self-service analytics
Working knowledge of Microsoft Fabric, including Lakehouse/Warehouse concepts, Direct Lake, pipelines, and notebooks, or comparable modern cloud/lakehouse analytics platforms
Strong understanding of data quality, data governance, metric consistency, documentation, access controls, and reporting reliability
Advanced Excel skills and comfort using modern analytics, automation, and AI-assisted tools
Excellent written, verbal, and interpersonal communication skills
Strong data storytelling skills
Executive presence and confidence presenting to and advising senior leaders and external stakeholders
Ability to build trust, influence decisions, manage tradeoffs, and keep stakeholders aligned when priorities shift
Employment contingent upon completion of a required identity verification process, which may include biometric technology where permitted by applicable law
Master’s degree and experience in insurance, telecommunications, retail, warranty, service operations, client operations, or other data-rich operational environments are helpful to have, not required
Helpful experience includes Databricks, Apache Spark, Azure, Python, R, predictive modeling, time series forecasting, segmentation, cluster analysis, retention analysis, exploratory analytics, Agile delivery, product ownership, portfolio prioritization, user acceptance testing, release management, change management, and AI-assisted tools

Benefits

Comp & perks

Salary range of $103,800.00–$173,300.00
U.S. benefits information available through myassurantbenefits.com
Benefits information outside the U.S. available through the recruiter
Video virtual interviews
Required identity verification process, including possible biometric technology where permitted by law
Equal employment opportunity protections