For out client EC we are looking for Business Analyst
1. DESCRIPTION OF THE TASKS
Following tasks will be performed by external service provider:
• Collect business requirement and analyse advanced AI solutions or identify and assess relevant
existing data mining, machine learning and business intelligence solution
• Specification and design of presentation interfaces with optimal usability/user experience
• Produces data models according to specific problems statements.
• Contribute to the design and implementation of the analytics architecture and its solution stack
(including performance aspects, physical design, capacity dimensions etc…)
• Write the different documentation associated with the tasks and liaise with other project teams as
necessary to address cross-project interdependencies.
• Interact with data stewards and other IT stakeholders to define the data rules;
• Define data controls and implement actions to ensure data quality and integrity;
• Creating automated anomaly detection systems and constant tracking of its performance;
• Data mining using state-of-the-art methods;
• Processing, cleansing, and verifying the integrity of data used for analysis;
• Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields, and
coordinate its implementation considering master- and meta-data management concepts;
• Analyse data architecture for consistency, completeness, accuracy and reasonableness;
• Contributing for the analysis of data management vision, strategy and policy and derive the IT
requirements;
• Analysis of Business requirements.
• Documentation of Business requirements.
• Business model analysis.
• Business process analysis.
• Business processes modelling
• Functional requirements and business cases analysis.
• Risk analysis.
• Assistance in Business cases, Vision documents, Project Charters and Security Plans
2. KNOWLEDGE AND SKILLS
Following skills and knowledge are required for the performance of the above listed tasks:
• Good knowledge of natural language processing systems lifecycle and agile software
development methodologies.
• Experience in the field of corpus-based linguistics.
• Experience with alignment models and classification methods.
• Experience with data analytics over big datasets, non-structured databases as well as data lakes.
• Good knowledge of information systems matters.
• Good knowledge of large organisation administrative business processes.
• Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram,
entity relationship model, interaction diagrams etc.).
• Good knowledge of BPMN or UML or other with equivalent value.
• Good knowledge of Wiki and collaborative sites.
• Knowledge of software development methodologies (e.g., RUP, Agile).
• Excellent knowledge of Data Analytics techniques and tools.
• Experience in Machine Learning and Natural Language Processing.
• Experience with languages like R, Python, PERL.
• Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData…)
• Expertise in the ETL processes and tools (SAS, Talend Open Studio…)
• Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL)
• Knowledge of architectural design and implementation of scalable modern data stores.
• Rapid self-starting capability.
• Excellent interpersonal and communication skills.
• Strong capacity in preparing and writing business analysis.
• Capability to speak to business and technical audiences.
• Strong capacity to give high-level presentations.
• Excellent critical thinker, by using logic and reasoning to identify strengths and weaknesses of
alternative solutions.
• Ability to apply high quality standards.
• Ability to participate in multi-lingual meetings, excellent communicator.
3. Specific Expertise
Following specific expertise is mandatory for the performance of tasks:
• Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes,
SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
• Knowledge of Large Language Models.
• Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive
(simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism
detection, trends/anomalies detection in datasets, recommendation systems
• Knowledge of Graph Databases
4. Certification and Standards
N/A
5. Service Delivery
The services shall be performed remotely in Near-site location allowing to reach the Commission
premises in Brussels (Rue du Luxembourg 40) within 2 hours.
Laptop will be provided by the Commission.
The external service provider may be requested to participate in the meetings with the Commission’s
services in Brussels (Rue du Luxembourg 40) (and exceptionally in other locations).
Laptop will be provided by the Commission.
The external service provider may be requested to participate in the meetings with the Commission’s services in Brussels (and exceptionally in other locations).