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Conversational AI Specialist / Data Analyst

  • Location:

    Brussels

  • Sector:

    Informationstechnologie

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Sona Toghramajyan

  • Contact email:

    sona.toghramajyan@oliverjames.com

  • Job ref:

    JOB-012025-266620_1736154991

  • Published:

    3 Tage her

  • Expiry date:

    2025-02-05

  • Startdate:

    ASAP

About the Company
We are a globally recognized organization with a strong brand and financial stability. We are focused on empowering people and businesses to stay ahead by leveraging cutting-edge analytics and conversational products to solve real-world business challenges.

Position Overview
Join our team as a Data Analyst and contribute to building the best digital assistants on the market using generative AI. You will have a significant impact on improving customer experience and shaping the future of digital interactions. This is an exciting opportunity to work within a multidisciplinary team across multiple countries.

Role and Responsibilities

  • You will play a crucial role in driving a data-driven culture and providing valuable insights to improve customer interactions through the latest analytics techniques in dialogue systems and natural language processing.
  • You should have a strong interest or background in analytics and IT, allowing you to enhance the customer and employee journey with advanced virtual assistant solutions.
  • As part of an agile team, you will work with colleagues who have extensive experience in data management and analytics across IT and business domains.

Key Responsibilities:

  • Develop chatbots for clients and employees using advanced generative AI technologies.
  • Apply data-driven methodologies to identify areas for improvement, guide data labellers, and create high-performing chatbots.
  • Establish an improvement cycle based on dashboards and data-driven methods.
  • Identify, analyze, and interpret patterns in complex datasets, particularly unstructured text data from conversations, in collaboration with data scientists.
  • Manage databases, data collection systems, and analytics strategies to optimize data quality. Proactively suggest improvements based on data analysis.
  • Communicate findings and provide analytical support to stakeholders, using both business and technical terminology.
  • Collaborate with the product owner to prioritize business needs and translate them into an analytical approach.

Profile Requirements:

  • A proactive mindset, always thinking ahead and striving to improve.
  • Enthusiastic about helping others succeed, with the ability to take initiative and drive results.
  • A learning attitude, both technically and interpersonally, with the ability to give and receive constructive feedback.
  • Adaptability and resilience in a fast-paced, ever-changing environment.
  • A collaborative approach, with a focus on achieving common goals and building strong team relationships.
  • Proactive and self-steering, with the ability to take ownership of your tasks and results.
  • Attention to detail and pride in the quality of your work, with a commitment to ensuring it runs smoothly in production.
  • A balance of forward-thinking and practical, hands-on execution.
  • Enjoyment of teamwork, working in a creative, innovative atmosphere where experimentation is encouraged.

Required Skills and Experience:

  • Master's degree in Mathematics, Economics, Computer Science, Information Management, Engineering, Statistics, or a related field, with 2-5 years of experience in data reporting and analysis.
  • Proven experience in chatbot AI development (preferably in a banking environment).
  • Proficiency in Python or R programming languages.
  • Experience with data visualization tools such as Looker, Cognos, or PowerBI.
  • Professional proficiency in English, with knowledge of Dutch or French as a plus (as the bot management is in NL/FR).
  • Strong ability to influence and convince peers and stakeholders based on analytical insights and data-driven approaches.
  • Experience making tactical decisions and building trusted relationships within your team.
  • Ability to communicate complex data-driven methodologies to non-technical colleagues.
  • Strong analytical skills, curiosity, and an ability to dive deep into data to find actionable insights.
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