AI Business Analyst

About the Company

А global digital transformation company with a team of more than 4,900 global players in 26 countries - in Europe, America and Asia, working together to put organizations at the forefront of innovation by bringing together talent, knowledge and technology. Our approach is based on conscious technology, through which we create positive environments and meaningful opportunities, always in our own way, making the complex simple. VASS BeNeLux, in partnership with the European Commission, is currently seeking an Expert Business Analyst - 022603 to work from the European Commission.

About the Role

DESCRIPTION OF THE TASKS

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.

Responsibilities

• 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.

Qualifications

To have a bachelor of minimum 3 years

Required Skills

• 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

At VASS we take action every day to achieve a favourable environment that facilitates and promotes equal opportunities, non-discrimination, diversity and inclusion of all people. We select our talent based on business needs, skills and merits. ?