We are looking for a Senior Insights Analyst to turn complex data into clear, actionable recommendations for senior leaders, internal business partners, and external client audiences. This is a hands-on individual contributor role for someone who can work independently across the full analytics lifecycle, shape ambiguous business questions, mentor fellow analysts, and deliver trusted insights that influence decisions.
What will be my duties and responsibilities in this job?
You will lead analytical projects and own high-visibility insight deliverables that support business performance, client relationships, operational strategy, and executive-level decision-making. You will balance hands-on analysis and modeling with project leadership, peer mentoring, and the continued modernization of the team’s reporting and insight capabilities.
Create value through data
- Produce clear, insightful, understandable work products, including presentations, visualizations, and dashboards, that outline business opportunities and actionable recommendations.
- Transform data into insights using internal and external tools such as Azure, Python, SQL, Excel, and Power BI to identify and quantify opportunities.
- Build studies that add substantial value to the decision-making process through proactive data analysis and research.
Deliver predictive insights
- 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 projects and mentor teammates
- Lead projects and assist in the development of project plans, conducting analysis and modeling, testing hypotheses, presenting complex information to various audiences in simplified terms, and identifying next steps and future opportunities.
- Mentor team members in technical proficiency, code reviews, and business acumen.
- Collaborate with team members to prioritize requests that require multiple resources so projects are completed thoroughly and within stated timelines.
Support data strategy and governance
- Participate in 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 discover areas of analytical need before they arrive as requests.
- Advance company-wide understanding and implementation of AI and machine learning, and help mature the team’s practices and procedures by leveraging learnings from existing implementations.
Communicate insights
- Leverage data to present compelling business cases that optimize investments and operations.
- Communicate with and educate both technical and non-technical employees on analytics and data-driven decision making.
Lead analytics products
- Work cross-functionally with business owners to develop innovative advanced analytics products that improve customer experience, capitalize on growth opportunities, deliver competitive advantage, and improve decision making.
What will success look like in this role?
In your first 90 days
- You understand the team, the business partners, the reporting portfolio, the data estate, and the highest-value decision points your work supports.
- You are working independently on assigned projects and delivering analysis that is accurate, reproducible, and clearly communicated.
- You have built working relationships with key business partners and understand how requests are prioritized.
By six months
- You are leading analytical projects from scoping through delivery and presenting insights and recommendations to senior leaders or client audiences with confidence.
- You have identified recurring reporting and manual processes that should be automated, consolidated, or moved into governed self-service.
- Your code reviews and feedback are helping teammates raise the quality of their analysis and documentation.
By twelve months
- You are a trusted partner to business stakeholders and are engaged early in decisions, helping shape the question rather than only responding after the request is fully defined.
- You have delivered at least one predictive or advanced analytics product that is adopted and used in decision making.
- You have contributed to more standardized, governed, and better-documented Power BI and Fabric assets that stakeholders find easier to trust and use.
- At least one teammate has grown into more complex work through your mentoring.
What are the requirements needed for this position?
- 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.
- 7+ years of experience in business analysis, research, statistics, applied mathematics, data management, business intelligence, or a related field.
- 7+ years of experience with data science tools (e.g., R, Python, SQL, Advanced Excel, Power BI) and relational database software.
- 7+ years of experience in data analysis that includes translating insights into recommendations.
- 5+ years of experience leading analytical projects.
- Experience performing statistical analyses, such as predictive modeling, time series analysis, exploratory data analysis, segmentation and cluster analysis, and retention analysis.
Technical requirements
- Advanced SQL skills, including complex joins, window functions, CTEs, data validation, and the ability to work 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.
Communication and data storytelling
- Strong written, verbal, and interpersonal communication skills, with the ability to communicate effectively at all levels of the organization.
- Strong data storytelling skills, including the ability to distill complex information into understandable ideas, business implications, and recommended actions.
- Strong analytical and research skills, with an innovative approach to problem solving and a track record to demonstrate it.
- Ability to work independently on all project types.
- Travel potential of up to 10%.
What other skills/experience would be helpful to have?
- 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 automate recurring work responsibly.
- A track record of mentoring peers and creating a culture of curiosity, accountability, inclusion, and continuous improvement.
Pay Range:
$88,000.00 - $147,000.00
Any posted pay range considers a wide range of compensation factors, including candidate background, experience and work location, while also allowing for salary growth within the position.
If there is no posting end date listed then this is a pipeline requisition, and we will continue to collect applications on an ongoing basis.
Helping People Thrive in a Connected World
Connect with us. Bring us your best work and your brightest ideas. And we’ll bring you a place where you can thrive. Learn more at jobs.assurant.com.
For U.S. benefit information, visit myassurantbenefits.com. For benefit information outside the U.S., please speak with your recruiter.
What’s the culture like at Assurant?
Our unique culture is a big reason why talented people choose Assurant. Named a Best/Great Place to Work in 14 countries and awarded the Fortune America’s Most Innovative Companies recognition, we bring together top talent around the world. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We call our culture The Assurant Way.
Company Overview
Assurant is a leading global business services company that supports, protects, and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products, and other specialty products.
AI and Biometric Usage
Assurant supports the responsible use of Artificial Intelligence (AI), but we want to know the real you. Visit our AI Usage Guidelines page to understand what we expect from applicants regarding their use of AI during the application process. Since we would like to know the real you, we require that all of our virtual interviews be conducted on video.
Employment is contingent upon completion of a required identity verification process, which may include biometric technology, where permitted by applicable law and subject to applicable notice and consent requirements. See our Privacy Notice to learn about Assurant’s privacy practices, including our use of AI-enabled technology, automated decision making, and biometric information.
Equal Opportunity Statement
Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local law in employment decisions.
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