Gather, understand, and document functional and non-functional requirements from stakeholders to support analytical solutions
- Write or collaborate on the creation of business requirements documents (BRDs) detailing solution characteristics, business expectations, and anticipated value.
- Create diagrams that illustrate high-level data domains and key concepts involved in solution design.
- Document required measures and KPIs to support business objectives, including clear definitions and calculation logic.
Explore and understand data assets to be leveraged as sources for analytical solutions
- Build and maintain detailed inventories of data assets required to deliver analytical solutions.
- Profile data assets to understand their granularity, domain context, business meaning, definitions, data quality characteristics, and interrelationships.
Design solution architecture to consume, transform, and deliver data for analytical solutions – Data Marts / Data Lake
- Design scalable and reusable logical data models for analytical repositories using relational and dimensional modeling techniques, integrating and conforming data from multiple sources.
- Document entities, attributes, and relationships using logical data model diagrams.
- Define detailed data movement requirements to populate modeled entities, including column mappings, joins, load strategies, and load dependencies.
- Perform internal testing and system integration testing (SIT) on developed data assets.
- Collaborate with cross-functional teams to deliver end-to-end analytical solutions, including:
- Data Governance teams for integration of master and reference data
- Data Services / Engineering teams for ETL development
- Business stakeholders for user acceptance testing (UAT)
- Data Quality teams to support periodic data quality assessments
- Report and dashboard developers , acting as a subject-matter expert (SME) on the designed data assets
- Production Support teams for troubleshooting and issue resolution
Implement data assets for serving data – Semantic Layer
- Design and implement semantic-layer data assets to support reports, dashboards, self-service analytics, and other downstream consumption scenarios.
- Create and maintain data dictionaries and documentation to enable and empower data consumers.
Demonstrate a solution‑owner mindset
- Collaborate in backlog refinement, maintenance, and prioritization activities.
- Actively participate in agile ceremonies, contributing to discussions on current work, next steps, dependencies, and risks.
- Provide work breakdowns, effort estimates, and expected delivery timelines for assigned tasks.
Build and support diverse, high‑performing teams
- Work effectively with a high degree of independence in a remote or hybrid environment.
- Continuously expand professional value by learning emerging technologies and concepts and applying them to improve existing products, processes, and outcomes.
- Completion of at least the 2nd year and current enrollment in the 3rd or 4th year of an undergraduate program in Mathematics, Computer Science, Statistics, Business Management, Information Systems, or a related field
- English proficiency at an advanced level (C1 or equivalent)
- SQL: basic data querying (DQL) skills
- Power BI: basic experience with report development or semantic model creation
- Familiarity with Data Warehouses, Data Lakes, or Data Lakehouse architectures
- Knowledge of relational and dimensional data modeling techniques
- Exposure to agile methodologies such as SCRUM and tools like Azure DevOps
- Awareness of cloud computing platforms such as Azure, Google Cloud, or Amazon Web Services, including Databricks
- Interest or foundational knowledge in AI concepts, including prompting techniques or agent development
- Exposure to Microsoft Fabric
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 .
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.
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.
Job Scam Alert
Please be aware that during Assurant's application process, we will never ask for personal information such as your Social Security number, bank account details, or passwords.
