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Junior Technical Business Analyst

2 months ago

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We are recruiting for a passionate Junior Technical Business Analyst to join an expanding team to support the evolution of our cutting-edge conversational AI solutions, using LLM and associated techniques to drive faster delivery and more robust solutions to our clients.


You will work in the AI & Data Practice as a member of the solutions team and ensure the optimal performance & delivery of our conversational AI applications (Currently Amelia) and the use of generative AI to improve customer & developer lo code experience.


The Technical Business Analyst at Bell will work in a dynamic and collaborative environment with opportunities for professional growth and skill development. The role may involve collaboration with cross-functional teams, engagement with external partners or clients, and participation in AI-related industry events or conferences. Bell Integration is committed to fostering a diverse and inclusive workplace and encourages individuals from all backgrounds to apply.


Responsibilities:

Conversational AI Solutioning:

  • Translate business needs into technical specifications for conversational AI systems and LLMs
  • Model conversational flows through BPMN or other techniques
  • Model Entity usage and prediction of the tools understanding of the conversation
  • Use Generative AI & LLMs to enhance customer feedback and provide insights into their data
  • Use Generative AI & LLMs to shorten delivery times and reduce the cost of build by helping to reducing the development effort ( moving to lo code)
  • Utilize data analysis tools and techniques to review and analyse conversations to improve retention rates
  • Identify NLU Routes / Intents for use in conversations to support better estimating
  • Facilitate communication between technical and non-technical stakeholders.


Generate Actionable Insights:

  • Collaborate with cross-functional teams to identify opportunities for improving the conversational AI user experience and driving business impact.
  • Develop and present reports, dashboards, and visualizations to communicate insights to stakeholders.
  • Continuous Improvement
  • Stay informed about the latest advancements in conversational AI technologies and industry best practices.
  • Contribute to the continuous improvement of the conversational AI applications by providing feedback and recommendations for future developments. Participate in the development of AI training data sets and annotation guidelines to improve the accuracy and relevance of the AI models.


Stakeholder Collaboration:

  • Collaborate with the customer success team and assist in addressing customer feedback, inquiries, and issues related to conversational AI interactions.
  • Engage with internal stakeholders to gather requirements, understand business objectives, and align AI strategies with organizational goals.


Experience/skills:

  • Strong Business Analysis skills
  • Process flow and modelling experience
  • Excellent communication and presentation skills to articulate complex data findings and insights to both technical and non-technical stakeholders.
  • Strong analytical, problem-solving, and critical thinking skills with a keen attention to detail.
  • Experience with AI and NLP technologies, particularly in the context of conversational interfaces and LLMs.
  • Knowledge of Large Language Models, retrieval-augmented generation and generative AI concepts
  • Experience in data analysis, AI analytics, or related roles, preferably within the context of conversational AI or natural language processing.
  • Knowledge of machine learning concepts, NLP techniques, and AI model valuation metrics is desirable.
  • Familiarity with conversational AI platforms, chatbot frameworks, voice recognition technologies, and customer interaction analytics tools.
  • Ability to work collaboratively in a cross-functional environment and adapt to evolving requirements and priorities.


Additional Requirements:

  • Comfortable the proficiency in data analysis tools and languages such as Python, R, SQL, or related platforms for analysing and visualizing large datasets is a plus
  • Knowledge of Generative AI in the Conversational AI area is a plus.
  • Knowledge of software development methodologies and agile principles is beneficial.


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