£35 Per hour
Undetermined
Remote
United Kingdom
Summary: The Data Analyst role involves conducting qualitative and quantitative analyses of projects post-launch to identify areas for improvement and provide actionable insights. The position requires collaboration with Systems Program Managers and cross-functional teams to support business needs and enhance decision-making. The analyst will also assist in developing tech roadmaps and tracking team execution. This is a remote position based in the UK with a focus on data-driven decision support.
Key Responsibilities:
- Help conduct qualitative and quantitative analysis of projects post-launch, identifying areas for improvement and providing feedback to the team
- Provide data-driven insights to inform and enhance decision-making
- Work with Systems Program Managers across multiple programs to support the needs of the business, for example, implementing tooling changes, assisting with root-cause analysis, conducting a comprehensive audit of the current workflow, etc.
- Provide support on the day-to-day execution of programs that require liaising with multiple cross-functional partners
- Assist with developing the tech roadmap process, ensuring it is fit-for-purpose and aligned with team goals and objectives
- Build collaborative cross-functional relationships with Operations, Product, Engineering, Data Science, among other teams
- Provide support on team execution tracking and outbound communications
Key Skills:
- Proven experience in data analysis with the ability to interpret data and provide actionable insights
- Experience with data querying languages (e.g. SQL), Google Suite (Google Docs, Sheets, Slides, etc), Lucid Charts, etc.
- Excellent verbal and written communication skills, problem solving skills, attention to detail, and interpersonal skills
- Ability to manage multiple tasks and prioritize effectively
- Experience supporting analytical projects end-to-end, and communicating findings through clear data visualisation
- Degree in Data Analytics, Engineering, or another quantitative field (preferred)
- Experience working with large scale dataset (preferred)
- Experience working in operations or process improvement (preferred)
- Top 3 Non – Non-negotiable skills: SQL, data analysis, project management, good communication and cross-functional collaboration
Salary (Rate): £35.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
description: Data Analyst Location: UK, Remote Length: Asap – 31/12/2025 Rate: £30.77 per hour Hours: 40 Hours per week Responsibilities: Help conduct qualitative and quantitative analysis of projects post-launch, identifying areas for improvement and providing feedback to the team Provide data-driven insights to inform and enhance decision-making Work with Systems Program Managers across multiple programs to support the needs of the business, for example, implementing tooling changes, assisting with root-cause analysis, conducting a comprehensive audit of the current workflow, etc. Provide support on the day-to-day execution of programs that require liaising with multiple cross-functional partners Assist with developing the tech roadmap process, ensuring it is fit-for-purpose and aligned with team goals and objectives Build collaborative cross-functional relationships with Operations, Product, Engineering, Data Science, among other teams Provide support on team execution tracking and outbound communications Minimum Qualifications: Proven experience in data analysis with the ability to interpret data and provide actionable insights Experience with data querying languages (e.g. SQL), Google Suite (Google Docs, Sheets, Slides, etc), Lucid Charts, etc. Excellent verbal and written communication skills, problem solving skills, attention to detail, and interpersonal skills Ability to manage multiple tasks and prioritize effectively Experience supporting analytical projects end-to-end, and communicating findings through clear data visualisation Preferred Qualifications : Degree in Data Analytics, Engineering, or another quantitative field Experience working with large scale dataset Experience working in operations or process improvement Top 3 Non – Non-negotiable skills: SQL, data analysis. Project management Good comms and xfn collaboration