High Automation Risk
This role has an above-average probability of significant AI or automation disruption. Consider upskilling and monitoring AI tooling in this sector.
Business Solutions and Automation Developer
👤 For candidates
🤖 Enhance with AI
- ›Leverage Copilot in Excel for advanced data analysis
- ›Automate repetitive tasks with Power Automate flows
- ›Use Azure AI for predictive analytics and insights
📈 Disruption outlook
% risk of significant disruption
🎓 Learn now
📚 For full-time, part-time & evening courses on the Isle of Man, visit University College Isle of Man (UCM)
🏢 For employers
🔄 Alternatives
Automate data pipeline monitoring and reporting tasks
Streamline repetitive business processes with workflows
Blend automation specialists with business analysts
⚡ Recommendation
⚡ Augment roleAI tools boost productivity but human oversight ensures solution quality and innovation
Microsoft Copilot & M365
Automate routine workflows and business processes
Enhance data analysis and reporting tasks
Build interactive dashboards and visualise business data
Software Developers
O*NET 15-1252.00
Top Skills
🏢 For Employers
This role scores highly for automation potential. You may want to consider a technological solution - or redesign the role to focus on tasks that benefit from human judgement.
👤 For Candidates
This role is highly automatable. Unless you can augment your work using AI tools, long-term prospects in this area may be limited. Consider building complementary skills that are harder to automate.
Job Description
Automation Risk
This role has a high degree of exposure to automation and AI augmentation, especially for technical tasks like data pipeline management, reporting, and solution maintenance. However, tasks involving creative process improvement, market research, and stakeholder engagement remain resistant to full automation. Overall, the mix of augmented and routine tasks drives a medium automation risk and high AI exposure score.
Task analysis
- Develop, maintain, and enhance automation, data, and reporting solutions using Python, Excel, Power BI, and related tools.
- Build and operate data pipelines and integrations, including those on the Azure data platform.
- Design, build, and maintain dashboards, reports, and automated outputs for business users.
- Contribute to low-code and workflow solutions using Power Apps, Power Automate, and related platforms.
- Assist with the practical implementation and use of AI-enabled tools and digital assistants.
- Take operational ownership of existing solutions, ensuring accuracy, maintenance, and fitness for purpose.
- Support configuration, enhancement, and controlled changes to technical solutions.
- Carry out market research into new tools, platforms, and technologies, assessing suitability and business value.
- Identify opportunities to improve processes through automation, better data usage, or new technical approaches.
- Produce and maintain clear documentation for solutions, processes, and controls.
Occupational Classification
UK Salary Benchmark
Scientific research and development · ONS ASHE 2024 annual earnings
👤 For Candidates
AI & future-of-work guidance
🤖 Enhance with AI
- ›Leverage Copilot in Excel for advanced data analysis
- ›Automate repetitive tasks with Power Automate flows
- ›Use Azure AI for predictive analytics and insights
📈 Disruption outlook
% risk of significant disruption
🎓 Learn now
📚 For full-time, part-time & evening courses on the Isle of Man, visit University College Isle of Man (UCM)
🏢 For Employers
Strategic hiring options & technology alternatives
🔄 Alternatives
Automate data pipeline monitoring and reporting tasks
Streamline repetitive business processes with workflows
Blend automation specialists with business analysts
⚡ Recommendation
⚡ Augment roleAI tools boost productivity but human oversight ensures solution quality and innovation
Microsoft Copilot & M365
Automate routine workflows and business processes
Enhance data analysis and reporting tasks
Build interactive dashboards and visualise business data
Key Skills
Knowledge Areas
O*NET Competency Skills
Alternative Career Paths
Focuses on designing and managing data pipelines and infrastructure for business intelligence.
Specializes in analyzing business data and creating actionable reports and dashboards.
Designs and oversees the implementation of automation strategies across business functions.
Advises businesses on adopting new technologies and automating processes for efficiency.
Develops software applications and tools for a variety of business needs.
Also Consider
🔥 Hot Technologies
In-demand tools for this occupation (O*NET)
Work Activities
General work activities from O*NET
- Working with Computers
- Processing Information
- Making Decisions and Solving Problems
- Thinking Creatively
- Communicating with Supervisors, Peers, or Subordinates
- Analyzing Data or Information
- Updating and Using Relevant Knowledge
- Organizing, Planning, and Prioritizing Work
- Getting Information
- Evaluating Information to Determine Compliance with Standards
- Documenting/Recording Information
- Developing Objectives and Strategies
- Monitoring Processes, Materials, or Surroundings
- Identifying Objects, Actions, and Events
- Interpreting the Meaning of Information for Others
Anthropic Economic Index
Real-world AI adoption data from millions of Claude conversations · Dataset ↗
Observed Claude Usage
29%
of conversations
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