Data Analyst
Approx. £65,000 | Remote (UK)
We are seeking a
Systems Specialist with strong data expertise
to partner with Program Managers and cross-functional teams. This role will provide business analytics support, track progress on high-priority projects, and contribute to program-level efficiency.
Responsibilities
* Conduct qualitative and quantitative analysis of projects post-launch, identifying areas for improvement and providing actionable feedback.
* Provide data-driven insights to inform decision-making and enhance operational efficiency.
* Partner with Systems Program Managers across multiple initiatives to support business needs (e.g., implementing tooling changes, root-cause analysis, workflow audits).
* Support day-to-day execution of programs, liaising with multiple cross-functional partners.
* Contribute to the development of the technology roadmap, ensuring alignment with team goals and objectives.
* Build and maintain collaborative relationships with Operations, Product, Engineering, Data Science, and other partner teams.
* Support execution tracking, reporting, and outbound communications.
Minimum Qualifications
* Proven experience in
data analysis
, with the ability to interpret data and provide actionable insights.
* Strong skills in
SQL
and data querying languages.
* Proficiency with
Google Suite (Docs, Sheets, Slides)
and visualization/design tools (e.g.,
Lucidchart
).
* Excellent communication (verbal and written), problem-solving, and interpersonal skills.
* Ability to manage multiple tasks, prioritize effectively, and deliver results under pressure.
* Experience supporting analytical projects end-to-end, including clear data visualization and presentation of findings.
Preferred Qualifications
* Degree in
Data Analytics, Engineering, or another quantitative field
.
* Experience working with
large-scale datasets
.
* Background in
operations or process improvement
.
Core Skills (Non-Negotiable)
* SQL & data analysis
* Project management
* Strong communication and cross-functional collaboration
Good-to-Have Skills
* Experience in operations settings
* Familiarity with process design tools (e.g., Lucid, Figma)