Data Analyst
Posted 7 days ago by Morgan McKinley
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The role of Data Analyst involves supporting the execution of an automation roadmap by optimizing fleet allocation and streamlining scheduling operations. The candidate will design and conduct User Acceptance Tests (UAT) to validate the accuracy of a science optimization model using real-world business data. The position requires a proactive individual who can work independently and adapt to the team's operations quickly. Key skills include data handling, conceptual agility, and independent problem-solving.
Key Responsibilities:
- Design, execute, and analyze User Acceptance Test scenarios to support the development of the science optimization model.
- Conduct UAT with real-world business data to validate model accuracy and effectiveness.
- Develop UAT processes to integrate and operationalize the optimization model within fleet scheduling tools.
Key Skills:
- Data handling & analysis – Ability to build, manage, and analyze complex datasets (Excel required; SQL is a strong plus).
- Conceptual agility – Strong ability to understand and apply ambiguous technical and business requirements.
- Independent problem-solving – Critical thinker who can operate autonomously and deliver results with limited information.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Duration - 6 months
We are seeking a skilled Programmer/Analyst to help accelerate the execution of our automation roadmap, optimizing fleet allocation and streamlining end-to-end scheduling operations.
Key Responsibilities
- Design, execute, and analyze User Acceptance Test scenarios to support the development of the science optimization model.
- Conduct UAT with real-world business data to validate model accuracy and effectiveness.
- Develop UAT processes to integrate and operationalize the optimization model within fleet scheduling tools.
What We’re Looking For
The ideal candidate is naturally curious, quick to learn how the team operates, and able to work independently to accelerate UAT phases.
Top 3 Must-Have Skills (stack-ranked by importance)
- Data handling & analysis – Ability to build, manage, and analyze complex datasets (Excel required; SQL is a strong plus).
- Conceptual agility – Strong ability to understand and apply ambiguous technical and business requirements.
- Independent problem-solving – Critical thinker who can operate autonomously and deliver results with limited information.