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Senior Analyst, Loans Analytics & Insight
Lloyds Banking GroupSenior Analyst for Loans Analytics & Insight role at the UK's largest consumer finance provider. Aiming to drive business results through data-driven insights and analytics solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and analytics, with a strong focus on developing actionable insights and optimizing performance through advanced data analysis and cloud-based technologies. Proficient in translating complex data into clear insights while championing data quality and governance.
Highest-signal resume keywords
Data ScienceMachine LearningPythonGCP Native ToolsData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisCustomer AnalyticsModel BuildingForecastingSegmentationData VisualizationStatistical AnalysisData GovernancePerformance OptimizationFinancial Metrics
Soft Skills
Intellectual CuriosityInfluencing StakeholdersCollaborationChallenging Status QuoUser-Centric Thinking
Tools & Technologies
Agentic AISQLSASPower BITableau
Industry Keywords
Data LandscapeCloud-Based PlatformsCustomer TrendsCompetitor StrategiesRegulatory Developments
Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- Develop insights through data and analytics capabilities to optimise performance across brands
- Support the evolution of the data landscape, employing new technologies and tools
- Play an active role in transitioning from GDW to GCP
- Provide actionable insight to optimise performance, inform pricing and proposition decisions
- Influence customer demand across journeys
- Collaborate with Senior Leaders and cross-functional teams to develop and deliver data led insights
- Design, build, and deliver high-quality analytics and insight solutions
- Translate complex data into clear, actionable insight
- Champion data quality, governance, and responsible data use
- Work collaboratively with Technical Engineers, Product Owners, and Solution Architects
Requirements
What you’ll need- A minimum 3 years in data science, analytics, Agentic AI, machine learning or modelling is essential
- Proficiency in data analysis, customer analytics, building and validating models for forecasting, pricing, and segmentation and visualisation tools (e.g. Agentic AI, Machine Learning, Python, SQL, SAS, Power BI, Tableau)
- Experience with cloud-based data platforms (e.g. GCP native tools)
- Unafraid to challenge the status quo, have an intellectually curious outlook, where you seek to innovate and adapt quickly from setbacks.
- Apply product led thinking to reporting and analytics initiatives, ensuring solutions are user centric, iterative, and aligned to evolving business needs.
- Supporting the team to maximise commercial performance, with a clear understanding of financial metrics and performance drivers.
- Highly numerical, data-driven individual.
- Present and influence effectively with senior stakeholders.
- Strong understanding of the external environment, including customer trends, competitor strategies, and regulatory developments.
Benefits
Comp & perks- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 28 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies