Implement data assets for serving data – Semantic Layer. Create and maintain data dictionaries and documentation to enable and empower data consumers.…
Basic understanding of data structures and data handling. Students with at least 18 months remaining until graduation (graduating in December 2027 or later).…
Students with at least 18 months remaining until graduation (graduating in December 2027 or later). You’ll have the opportunity to learn every day from……
Track, analyze, and report on key performance indicators (KPIs) to measure the effectiveness and business impact of implemented solutions, supporting data-……
Marvell’s products leverage state of the art communications, signal processing, and forward error correction algorithms and architectures, as well as Ethernet……
Must have analytical and critical thinking about internal procedures. Candidate will cooperative and actively participate in: Good knowledge in Office pack.…
Students with at least 18 months remaining until graduation (graduating in December 2027 or later). Build with Large Language Models (LLMs): Your daily work……
Students have to be in last year of a 5/5.5 year Engineer course at UTN-FRC/UTN-VM/UNC/IUA or doing a Master's/PhD in Electrical Engineering at any university……
Students have to be in last year of a 5/5.5 year Engineer course at UTN-FRC/UTN-VM/UNC/IUA or doing Master/PhD in Electrical Engineer at any university of……
Preparation of technical data sheets. Must have analytical and critical thinking about internal procedures. Collect information on manufacturing parameters and……
Use of typical engineering tools such as code repositories, test scripts, and internal documentation. Without these teams, Marvell would not be able to deliver……
Develop foundational skills in technical troubleshooting, data analysis, and configuration. Basic understanding of software applications, data concepts, or……
Have less than 5 final exams to graduate or less than one year to finish the career. Marvell's products leverage state-of-the-art communications, signal……
Marvell provides industry-leading coherent optical communications technology to serve the Data Center interconnect (DCI) applications for the Hyperscaler market……
This role involves executing marketing campaigns, analyzing performance data, coordinating with freelancers, and managing marketing-related databases.…
Convey impact of the business group they will be joining on Marvell and the world. The engineer will implement tool flows, develop and define CAD methodologies,……
You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your……
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Descripción del empleo:
As a Data Analytics 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
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