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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining dashboards using BI tools like Tableau, along with strong SQL skills for data exploration and analysis. Capable of translating business needs into actionable data products while ensuring data quality and accuracy.
Highest-signal resume keywords
Tableau Dashboard DesignSQL Data AnalysisData Modelling with dbtBuilding Data PipelinesStakeholder Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ModellingTableauLookerPower BIData AnalysisData Quality ImprovementData Pipeline DevelopmentAnalytics ReportingStored-Procedure Logic
Soft Skills
Analytical JudgementAttention to DetailProblem SolvingOrganizational SkillsCommunication Skills
Tools & Technologies
TableauLookerPower BIDbtAnalytics Engineering
Industry Keywords
Business IntelligenceOperational MetricsRisk Decision-MakingFraud PreventionFinancial Crime Risk
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Design, build and maintain dashboards using Tableau or similar BI tools
- Use SQL to explore data, build structured datasets and deliver repeatable analysis
- Partner with stakeholders to understand business problems and develop practical analytical solutions
- Define, document and maintain clear, trusted metrics
- Deliver recurring MI and self-serve reporting supporting operational and risk decision-making
- Work with Analytics Engineering to design and improve core data models, including modernising stored-procedure logic into maintainable transformations
- Improve data quality, reporting standards and analytics-product usability
- Support performance monitoring across operational or risk-focused domains
- Build trusted data pipelines, semantic layers and self-serve reporting
- Support Collections & Recoveries or Fraud & Financial Crime teams according to experience, interests and business need
Requirements
What you’ll need- Experience in a BI, analytics or reporting role
- Track record of creating reliable production datasets, scalable reporting and self-serve insight
- Strong SQL skills and confidence working with large, complex datasets
- Experience with a BI tool such as Tableau, Looker or Power BI
- Experience with data modelling or dbt, including building robust pipelines and maintaining clear documentation
- Strong analytical judgement, attention to detail and focus on data accuracy
- Ability to translate ambiguous business needs into practical data products
- Ability to work with technical and non-technical stakeholders
- Ability to communicate clearly, constructively challenge and explain complex data concepts to non-technical stakeholders
- Organised, curious approach to problem solving and managing priorities
- Python experience would be beneficial but is not essential
- For Collections & Recoveries: experience analysing credit, operational or customer performance metrics would be useful
- For Fraud & Financial Crime: interest in fraud prevention or financial crime risk would be valuable; experience in financial services, risk, fraud or financial crime is helpful but not essential
Benefits
Comp & perks- Hybrid working arrangement with 2–3 days per week in the London office
- Option to work from abroad for up to 120 days per year, subject to having the right to work in the country of choice
- Work and home-life support from day one
- Diversity and inclusion support, including reasonable adjustments during the hiring process