Business Analyst

Job description:

• Collect business requirements and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solutions.
• Develop detailed application mock-ups using design tools, ensuring alignment with business objectives and user needs.
• Analyse large datasets to uncover actionable insights.
• Ensure strict compliance with GDPR and emerging AI regulations in all stages of data processing.
• Facilitate effective communication and collaboration between business stakeholders, data scientists, and IT developers.
• Conduct user acceptance testing to meet business requirements.
• Specification and design of presentation interfaces with optimal usability/user experience.
• Produce 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.
• Create 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.
• Participates in the design of the IT architecture for solutions in the NLP / ML / AI fields and coordinates 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.

LEVEL OF EDUCATION: Bachelor or Master Degree

KNOWLEDGE AND SKILLS:

• Good knowledge of natural language processing systems lifecycle and agile software development methodologies.

• 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 SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL)

• Knowledge of architectural design and implementation of scalable modern data stores.

• Rapid self-starting capability.

• 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.

• Excellent communication and interpersonal skills to collaborate with cross-functional teams, conduct training sessions, and promote data governance best practices.

SPECIFIC EXPERTISE:

• Excellent knowledge of machine learning techniques and algorithms, and 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.

• Knowledge of application UI/UX design.