Noesis is looking for candidates with the following profile:
• Hands-on experience in business and data understanding activities, with good knowledge of data modelling, data cataloguing and data lineage.
• Good data manipulation skills using data management and business intelligence tools.
• Good knowledge of data quality principles, rules and KQI definition.
• Ability to explain complex data issues in nontechnical terms.
• Able to work in several projects, while showing great autonomy and agility in delivering.
• Strategic thinking, problem solving, excellent verbal and written communication.
• Good business acumen and confidence in working with senior stakeholders with exceptional customer focus.
• Able to collaborate and openly debate within the team to execute projects, solve problems and discuss challenges, acting as a team player.
Required experience and background:
• Master degree in information technology, information management, computer science, computer engineering or equivalent
• 3 years of relevant experience in supporting Master Data Management implementation activities in large complex organizations.
• Previous experience in managing and delivering end-to-end data projects, from business requirements definition to design and implement fit for purpose data models
• Experience in the definition and technical implementation of data cleansing rules and data quality initiatives.
• Working experience in data governance tools, principles, and processes, in complex data architectures will be a plus.
• Strong technological practices will be a plus.
• Experience in Financial Services, Telecommunications and in Oil & Gas industries will be a plus, namely if in the context of data governance, risk management or digital transformation.
If you meet these conditions and would like to join an innovative organization that continuously invests in training its talents, send us your application.
Join us. Let's innovate together!
If you’re interested in this opportunity apply here: Data Functional Analyst?displayed_form=true