The Data Modeler designs, implements, and documents scalable data architecture and modeling solutions, including relational, dimensional, and semantic data models, deployed across on-premises and cloud environments. These solutions enable trusted, high-performance self-service analytics, enterprise business intelligence, and advanced use cases such as AI and machine learning.
The role ensures data structures are intuitive, governed, and optimized to empower business users while supporting the next generation of AI-driven tools and insights.
- Partner with business stakeholders and application/solution teams to translate data strategy and requirements into end-to-end data solutions, including data flows and conceptual, logical, and physical data models across enterprise data platforms and tools.
- Define, implement, and govern enterprise data modeling and design standards, tools, and best practices to ensure consistency, scalability, and reusability of data assets.
- Work proactively and independently to analyze project requirements, identify risks and dependencies, and clearly communicate issues and recommendations to support timely and successful delivery.
- Ensure data quality, integrity, and accuracy across analytics solutions by validating and reconciling data between Power BI semantic models and the enterprise data warehouse.
- Develop, review, and maintain comprehensive solutions and technical documentation to support transparency, knowledge sharing, and ongoing support.
- Thrive in a fast-paced environment while supporting a diverse portfolio of data and analytics solutions with varying complexity and business impact.
Basic Qualifications
- Strong hands-on knowledge of SQL to perform data-analysis and writing ad-hoc queries (at least 5 years of experience).
- Working experience with Power BI Stack (at least 4 years of experience).
- Skilled in Data Modeling and Entity Relationship Diagrams.
- Understanding of data warehousing concepts.
- C1 level English or equivalent.
- Good documentation and requirements engineering skills.
- Ability to work remotely and with limited supervision.
- Advanced problem-solving skills
Preferred Experience
- Experience with Agile methodologies.
- Microsoft Fabrics
- Experience designing data models that support AI and advanced analytics use cases.
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.
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 13 countries and awarded the Fortune America’s Most Innovative Companies recognition in 2023, 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.
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.
