Hands-on AI & Automation Analyst

Well Street

Greater Manchester

Presencial

GBP 45 000 - 65 000

Tempo integral

há 19 horas
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Resumo da oferta

Well Street is partnering with a major European organisation to recruit an AI Analyst. The role focuses on turning AI and automation investments into practical improvements across the business.

You'll work with IT and business teams to identify opportunities, design automation, build AI-enabled solutions, and develop dashboards (Power BI) to support better decision-making. A problem-solving mindset and ability to work with non-technical colleagues are essential.

Qualificações

  • 2–5 years' experience in Application Support, Business Systems, or related roles.
  • Experience with ERP/CRM or other enterprise systems.
  • Hands-on scripting, SQL, Python, APIs or automation.
  • Experience using AI tools in a business context.

Responsabilidades

  • Work with Finance, Operations, Sales, Marketing and Customer Service to identify improvements.
  • Review existing business applications and processes to identify inefficiencies.
  • Design and build automation and AI-enabled solutions.
  • Support adoption of AI tools.
  • Work with data across ERP, CRM, Excel to improve reporting.
  • Use SQL, Python, APIs and automation platforms to connect systems.
  • Develop reports and dashboards including Power BI to support decision-making.
  • Test, document and improve solutions.
  • Be a key point of contact for colleagues exploring AI.

Conhecimentos

SQL
Python
APIs
Power BI
Data Analysis
Problem Solving
Communication
Workflow Automation
Scripting

Ferramentas

ERP
CRM
Automation platforms

Descrição da oferta de emprego

Well Street is partnering with a major European organisation to recruit an AI Analyst. The role focuses on turning AI and automation investments into practical improvements across the business.

You'll work with IT and business teams to identify opportunities, design automation, build AI-enabled solutions, and develop dashboards (Power BI) to support better decision-making. A problem-solving mindset and ability to work with non-technical colleagues are essential.

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