Data Analyst - Brussels, België - AMA European Consulting

AMA European Consulting

Geverifieerd bedrijf

Brussels, België

3 weken geleden

Geplaatst door:

Sophie Dubois

beBee Recruiter

Beschrijving

Summary:

The Analytics Technology Lead is responsible for managing the lifecycle of globally used analytics platforms.

This includes leading platform implementations & projects, guidelines & best practices, managing vendors involved and collaborating with various stakeholders such as security, technology strategy, infrastructure, support and respective domains upon use cases.

Major Responsibilities:

Ownership of the data platforms: Denodo, Snowflake and SAS DI.
Manage the lifecycle of the platforms and their integrations with other systems, the maintainability and the scalability of the solutions.
Be responsible for defining the platform strategy, technology roadmap and evolutions.
Contribution in shaping the overall landscape, architecture, solution designs and governance evolutions within the data & analytics space.
Defines and ensures the applicability of governance, technical standards and best practices for development teams on the platforms.
Lead the platform implementations / projects and manage the stakeholders and vendors involved by showing advanced project management skills and ability to deliver technology projects in a matrix organization, in collaboration with various departments involved (transversals and verticals).
Explore how new & emerging technologies or capabilities may bring value to UCB and support the UCB analytics roadmap evolution.
Able to execute proof of concepts and understand handson developments.
Manage interests and expectations of various business and IT stakeholders.
Able to shape and defend business cases for the initiatives he/she will drive or support with solutions and estimates.
Review / validate / defend functional requirements, architecture specifications and solutions designs.
Facilitate, review, coordinate and prioritize platform changes and enhancements.

Competencies:

Must have technology knowledge: Snowflake or similar, Denodo or similar, SAS DI or similar.
Azure eco system understanding is considered a plus.
Knowledge of endtoend architecture concepts in the data & analytics space.
Experience with business intelligence tools such as Qlik Sense or Power BI.
Strong Data Provisioning skills (ETL, ELT).
Logical Data Modeling experience.
Strong knowledge of relational database structures, theories, principles and practices.
Experience with Big Data and cloud technologies.
Strong Knowledge of analytics governance concepts.
Business and technical competency in analytics solutions.
Excellent analytical, problem solving, with strong ability to quickly learn and comprehend business processes and problems in order to effectively shape technical solutions.
Energetic, Enthusiastic and Positive attitude. Customer focused, Solution Oriented.