Data Visualization Analyst (Fashion)
Data & Analytics

Who we are

We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.

Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.

This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.

What we offer  

  • Develop your professional career working with one of the biggest brands in the fashion industry.
  • A balanced work environment where you will have autonomy, responsibility, and ownership while working with a vibrant and dynamic team
  • A chance to work alongside more junior colleagues, which will allow you to improve your leadership skills, and more senior co-workers who will advise you on your further career development.
  • A modern office with everything you need (including food and beverages).

What you will do 

You’ll join the Data Visualization team of a global company based in Porto, carrying out international projects. As part of a wider Data & Analytics practice, you might collaborate with our Data Science and Data Engineering teams, or team-up with Strategy & Execution teams to deliver innovative use cases with a data-related component. The mission of the Data Visualization team is to enable stakeholders to make strategic data-driven decisions, by uncovering insights hidden in complex business data though the design and the implementation of interactive dashboards.

You’ll have direct contact with client’s key users, from different business units like eCommerce, Marketing, Retail, CRM, Merchandising, Product, Operations, Finance. You’ll be involved in end-to-end Data Visualization projects: stakeholder interviews, business analysis, data analysis, design of a technical solution, implementation of back-end ETL, design and implementation of dashboard’s UX/UI, delivery and key user training. You’ll work with structured Agile methodologies and tools, coached and supervised by experienced Scrum masters.

As Data Visualization Analyst, you’ll bring value to the team by:

  • Developing Data Visualization solutions, either on back-end (ETL/data models) and front-end (dashboard’s UX/UI) sides
  • Implementing technical and governance best practices
  • Following Agile principles, methodologies and tools
  • Building and maintaining trust-based relationships with client’s key users and IT counterparts

What you’ll bring   

We look for experienced and self-starter professionals, with successful prior experience in delivering Data Visualization solutions. We believe that these elements are crucial to success in this position:

  • Self-starter personality, fast-learner, critical thinking, curious attitude
  • Relevant experience (2+ years) in Data Visualization projects (Power BI, Qlik Sense, QlikView, Tableau, Looker, SAP Analytics Cloud, …)
  • Experience and motivation to improve both back-end (ETL, SQL, coding, data-modeling) and front-end skills (dashboard’s UX/UI)
  • Expertise of different industries and business functions. Experience and/or Interest in Fashion industry is a plus.
  • Experience in relating to people with different attitudes and backgrounds, ideally with prior international experience for study and/or work
  • Fluent English, written and oral. Portuguese is a plus
  • STEM master’s degree
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