For out client EC we are looking for Business Intelligence Expert
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
• 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 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 (and exceptionally in other locations).