Data Analyst

Funding Circle UK

. The primary steward of the modelled datasets the Credit Risk team relies on daily: maintaining field logic, monitoring data quality, and ensuring the data as well as the dictionary remains accurate and fit for purpose.

Posted 7/16/2026full-timeLondon • 🇬🇧 United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong data management capabilities, including maintaining data quality, creating analytical tables and pipelines, and effectively communicating data issues. Proficient in SQL and familiar with tools like Tableau and GitHub, with a focus on operational efficiency and AI-driven solutions.

Highest-signal resume keywords

SQL ProficiencyData Quality ManagementTableau Dashboard DevelopmentPython FamiliarityAI Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ManagementData AnalysisTableauPythonDbtAirflowData Pipeline CreationData Quality MonitoringAI Use Case Identification

Soft Skills

Clear CommunicationDetail-OrientedProblem SolvingIndependent WorkDocumentation Skills

Tools & Technologies

GitHubTableauAWSMS Office

Industry Keywords

Credit RiskData DictionaryData MartOperational EfficiencyAnalytical Needs

Tech Stack

Tools & technologies

AirflowAWSPythonSQLTableau

About the role

Key responsibilities & impact

The primary steward of the modelled datasets the Credit Risk team relies on daily: maintaining field logic, monitoring data quality, and ensuring the data as well as the dictionary remains accurate and fit for purpose.
Creating new tables and pipelines as the team’s analytical needs evolve, working to a high standard of code quality and documentation.
Proactively identify anomalies, breaks, and drift in the datamart, and investigate root causes before they affect downstream users.
Be the go-to person for data questions from analysts and model validators, and will maintain clear documentation so others can self-serve confidently.
Working closely with the central Data to align on tooling, infrastructure, and best practice, and promote those to the Credit Risk Team.

Requirements

What you’ll need

A degree from a numerical or data-related subject, such as Mathematics, Computer Science, Engineering, Physics, or Data Science
1–2 years of work experience, or a recent graduate with demonstrably strong data skills
Proficient in SQL, familiar with Github, and confident using Tableau to build and maintain dashboards
Comfortable working independently on ambiguous, open-ended data problems with a methodical and detail-oriented approach
A clear communicator, able to document logic and flag data issues in plain language for both technical and non-technical colleagues
Familiarity with Python, dbt, Airflow, or AWS is a plus, so is MS Office in a professional setting
Able to take ownership of redesigning departmental workflows, using AI to automate complex tasks and drive operational efficiency
Competently able to identify high-impact AI use cases and implement advanced prompting techniques to solve multi-layered business challenges.

Benefits

Comp & perks

Flexibility: We provide a benefit allowance you can tailor to your own life and family.
Health: This includes private medical and dental, health assessments, and access to a digital GP.
Wealth: We offer life assurance, share schemes, and financial coaching.
Development: You get a dedicated annual learning allowance to help you level up.
Lifestyle: We have electric car and cycle-to-work schemes, plus season ticket loans.
Award-winning parental leave policies.