Business Analyst
Il y a 4 mois
**Company Description**
Arηs Group - part of Accenture - is a market leader in the management of complex IT projects and systems. Founded in Luxembourg in 2003, we have grown to encompass 12 entities worldwide, employing over 2,500 employees in Luxembourg, Belgium, Greece, Italy, Portugal and Bulgaria. With our focus on getting things done, we help our clients achieve their goals with best-of-breed solutions, superior execution and exceptional services. We offer bespoke software development, data science, infrastructure, digital trust and mobile development to government institutions at national and European level, telecom providers, and financial institutions, among others. Our bold company culture is built around working hard and playing hard, with a flat and agile structure that lends itself to efficiency and employee empowerment. We value our diverse workplace of close-knit teams and provide a place where everyone can be supported to learn and evolve.
ARHS Group - part of Accenture - is looking for a Business Analyst with very good AI knowledge for one of its clients at the EU Institutions in Brussels.
**Role & responsibilities**
- Collecting business requirement and analyzing advanced AI solutions or identifying and assessing relevant existing data mining, machine learning and business intelligence solution
- Specification and design of presentation interfaces with optimal usability/user experience
- Producing data models according to specific problems statements.
- Contributing to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc )
- Writing the different documentation associated with the tasks and liaising with other project teams as necessary to address cross-project interdependencies.
- Interacting with data stewards and other IT stakeholders to define the data rules.
- Defining 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.
- Participating in the design of the IT architecture for solutions in the NLP / ML / AI fields, and coordinating its implementation considering master
- and meta-data management concepts.
- Analyzing data architecture for consistency, completeness, accuracy and reasonableness.
- Contributing to the analysis of data management vision, strategy and policy and deriving 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.
**Qualifications** Your profile**
- University degree in Computer Science or equivalent experience.
- 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 participate in multi-lingual meetings, excellent communicator.
**Technical Skills**
- 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.
- 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 organization 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.
- Go
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