estás postulándote para este trabajo:
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 – Experience, Skills, and Knowledge
- 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