Data Analytics Intern

ASSURANT SERVICES ARGENTINA S.A.; Buenos Aires; Presencial; ARS 223.200 - 334.800; A tiempo parcial

Descripción de la vacante

Assurant Services Argentina, S.A. is seeking a Data Modeler Intern who will gather and document data requirements, design scalable data architectures, and collaborate with cross-functional teams. The ideal candidate is at least in their 3rd year of an undergraduate program in relevant fields and has strong SQL and Power BI skills.

This role offers the opportunity to work in a remote or hybrid environment, supporting the development of analytical solutions. Join us to contribute to exciting data projects and enhance your professional growth!

Responsabilidades

• Gather and document functional and non-functional requirements from stakeholders.
• Create diagrams illustrating high-level data domains and solution designs.
• Design and implement semantic-layer data assets for analytics.
• Collaborate with cross-functional teams for end-to-end analytical solutions.

Conocimientos

SQL: basic data querying (DQL) skills

English proficiency at an advanced level (C1 or equivalent)

Power BI: basic experience with report development or semantic model creation

Educación

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

Descripción del empleo

Responsibilities

As a Data Modeler Intern, you will be expected to perform the following activities in alignment with your experience level: 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.

Required Qualifications

• 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

Preferred Qualifications

• 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

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.