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ITS-BE-400-19-Applications life cycle-Business Analyst-Expert (ENGIE009087)

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Functie: ITS-BE-400-19-Applications life cycle-Business Analyst-Expert

Klant:

Beschrijving

GenAI Functional Analyst with technical skills.

In our Agile organization, you are part of a multidisciplinary team (Marketeers, Analysts, Process Engineers,…), you act as the ‘bridge’ between the business-profiles and technical-profiles in the Automation Squad on (Gen)AI topics.

As functional analyst you analyze and translate requirements and processes into specifications. You propose end-to-end solutions as a team, that meets the customer needs and are cost-efficient. Via an iterative/ adaptable approach you challenge the requirements and specifications, and via MVP way of working you ensure rapid time to market and immediate value-creation

Experience

  • Proven experience as an analyst on implementations of GenAI changes within an corporate organisation.
  • Proven experience with Generative AI technologies and applications like Azure AI, AWS.

Vaardigheden

  • AI functional knowledge
  • Confirmed (3 years< x <= 5 years)
  • AWS
  • Confirmed (3 years< x <= 5 years)
  • Trilingual EN/FR/NL (of which either FR or NL can be less)
  • Belgian energy sector
  • Confirmed (3 years< x <= 5 years)
  • Scripting Python
  • Confirmed (3 years< x <= 5 years)

Context

Skills:

  • Proven experience as an analyst on implementations of GenAI changes within a corporate organization.
  • Strong communication skills are essential for translating technical concepts on GenAI to non-technical stakeholders.
  • Ability to foster collaboration and build relationships across diverse teams.
  • Prove maturity in stakeholder management with a focus on outcome and value. Be able to challenge experienced AI engineers and analysts with critical mindset
  • Knowledgeable on the principles of Generative AI, including how models like large language models (LLMs) work.
  • Prompt Engineering and guardrail management skills.
  • Basic or Confirmed AWS AgentCore technical skills.
  • Agentic AI knowledge within M365 and MS Copilot studio
  • Familiarity with data analytics concepts and tools is crucial.
  • Proficiency in programming languages such as Python is essential, especially for working with AI models and data manipulation.
  • Analysis, evaluation and visual representation of (Gen)AI results and knowledgeable on different measurements and KPI's on (Gen)AI.
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