User Acceptance Testing Analyst
Posted 1 day ago by Morgan McKinley
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The User Acceptance Testing Analyst will be responsible for designing, executing, and analyzing comprehensive UAT scenarios to validate science-based optimization models over a duration of 6 months. The role requires collaboration with developers to operationalize models and involves extensive data analysis using SQL and MS Excel. The candidate must possess a strong analytical mindset and technical literacy to translate complex technical concepts into actionable business requirements.
Key Responsibilities:
- Design, execute, and analyze comprehensive User Acceptance Test (UAT) scenarios to validate the integrity of science-based optimization models.
- Test model outputs against real-world business constraints and historical data.
- Leverage SQL and MS Excel to build and manage complex datasets, auditing the inputs/outputs.
- Collaborate with developers to operationalize models.
Key Skills:
- SQL Proficiency: Mandatory, with comfort in writing complex queries to extract, manipulate, and analyze data for testing purposes.
- Advanced MS Excel: Expert-level ability to model data and visualize test results.
- Analytical Mindset: Proven experience in testing algorithms or optimization models.
- Technical Literacy: Ability to grasp ambiguous technical concepts and translate them into actionable business requirements.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Duration - 6 months
Key Responsibilities
- End-to-End UAT Strategy: Design, execute, and analyze comprehensive User Acceptance Test (UAT) scenarios to validate the integrity of science-based optimization models.
- Model Validation: Test model outputs against real-world business constraints and historical data.
- Data Analysis & Auditing: Leverage SQL and MS Excel to build and manage complex datasets, auditing the inputs/outputs.
- Operational Integration: Collaborate with developers to operationalize models
Technical Requirements:
- SQL Proficiency: Mandatory. You must be comfortable writing complex queries to extract, manipulate, and analyze data for testing purposes. (Advanced SQL is a significant plus).
- Advanced MS Excel: Expert-level ability to model data and visualize test results.
- Analytical Mindset: Proven experience in testing algorithms or optimization models rather than just UI/UX software.
- Technical Literacy: Ability to grasp ambiguous technical concepts and translate them into actionable business requirements.