DESCRIPTION:

We're looking for a Business Analyst who wants to replace manual, repetitive work with automation and AI, not just report on it. You'll work directly with operations leaders to find where a process is still done by hand, then help build the tool, pipeline, or model that replaces it.

You'll spot where automation, AI/ML, or a new application could remove manual effort from daily operations
You'll turn real operational problems into clear requirements an engineering team can build from
You'll dig into the data yourself - SQL, root-cause analysis, and defining the metrics that prove a solution worked
You'll validate that what gets built is accurate and actually gets used, not just shipped
You'll help take a solution that works in one place and make it work everywhere

Key job responsibilities
- Identify opportunities to improve operational processes through automation, AI/ML, and application-based solutions
- Translate business problems and requirements into scalable technical solutions, partnering with engineering and data science teams
- Perform data analysis and root-cause analysis using SQL, and define the success metrics each solution will be measured against
- Support development, testing, deployment, and adoption of automation, AI/ML solutions, and applications, including coordinating user acceptance testing with stakeholders
- Validate data and solution outputs against ground truth to confirm accuracy and real business value before and after launch
- Identify opportunities to scale a solution that works in one location across the wider region
Stay current with emerging AI, cloud, and analytics technologies, and bring relevant ones back to the team

About the team
Our team builds the AI and automation products that run operations across the Middle East, Africa and Turkey. We focus on the decisions people make by hand, hundreds of times a week, from data that already exists, and turn them into tools with a named business owner on the other end. We measure ourselves in hours returned to operators, defects removed, and cost avoided, not in projects started. We build once for the whole region and adapt by configuration, not by rebuilding, so a solution that works in one country can reach five.

BASIC QUALIFICATIONS:

- Hands-on experience using generative AI tools (e.g., Claude, Kiro, ChatGPT, Amazon Q) to support analysis, research, or productivity
- Experience using AWS services for data storage, processing, or analytics
- Experience with AI/ML, Generative AI, or automation/application development

PREFERRED QUALIFICATIONS:

- Experience delivering a data or technology solution from concept through deployment
- AWS certification(s), such as AWS Certified AI Practitioner or AWS Certified Cloud Practitioner

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