Data Analyst
CUBE
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- Support Subject Matter Experts (SMEs) in connecting customer data to the CUBE Network through advanced data matching protocols, tools, and Python-based solutions.
- Deliver high-quality, accurate data insights for customers while improving expertise in risk and control frameworks.
- Collaborate with Product and Engineering teams to design and implement improved data processing workflows and tools.
- Define and refine CUBE’s consensus-based risk and control indices and business rules.
- Ensure the ongoing quality, consistency, and accuracy of CUBE’s data, applying technical standards and quality control rigorously.
Requirements
- Some experience in a data-focused role.
- Proficiency in MS Office, particularly Excel.
- Familiarity with working in a fast-paced, scale-up environment, preferably within the FinTech or RegTech sectors.
- Self-starter with a pragmatic and proactive approach.
- A collaborative and flexible team player who can contribute positively to the company’s culture.
- Proven self-starter with a pragmatic and proactive approach to problem-solving and innovation.
- Proficiency in at least one of the following data analysis tools and languages, such as Python, SQL, MS/Azure Foundry and data visualisation tools (e.g., Tableau, Power BI).
Benefits
- CUBE is an equal opportunity employer
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdata analysisdata matching protocolsdata processing workflowsrisk and control frameworksdata visualizationExcelTableauPower BI
Soft Skills
collaborationflexibilityproblem-solvingproactivityself-starterteam playerinnovationcommunicationadaptabilityattention to detail