Experienced Data Analyst
Role details
Job location
Tech stack
Job description
An Experienced Data Analyst translates business problems into data-driven insights. This role works with stakeholders to collect, organise, and analyse data, identify trends, and present clear, actionable recommendations. The analyst supports business decision-making and process improvement through reporting, visualization, and statistical analysis., Data Analysis & Insights
- Analyse data to identify trends, patterns, and opportunities for improvement
- Apply statistical methods to support forecasting and decision-making
- Translate complex data into actionable insights and recommendations
Data Collection & Management
- Gather, clean, and organise data from multiple sources
- Design, maintain, and improve data systems
- Ensure data quality through validation, audits, and issue resolution
Reporting & Visualisation
- Create reports, and automated reporting solutions
- Present data in a clear, compelling way to support decision-making
- Translate business requirements into meaningful KPIs and visual outputs
Stakeholder Collaboration
- Work with stakeholders to understand data needs and business challenges
- Communicate insights and recommendations clearly to non-technical audiences
- Support cross-functional teams with data-driven analysis
Tools & Technical Delivery
- Use SQL, Python/R, and visualisation tools (e.g. Power BI, Tableau)
- Support development of forecasting models and ad hoc analysis
Documentation & Continuous Improvement
- Document data definitions, business rules, and processes
- Identify opportunities to improve data quality, reporting, and workflows
- Contribute to data governance practices (e.g. data dictionaries, lineage)
Scope & Impact (P2 Level)
- Owns end-to-end analysis for small to medium-sized projects
- Works across multiple data sources and business areas
- Provides insights that influence tactical business decisions
- Collaborates with team and departmental stakeholders
- Begins shaping analytical approaches and influencing outcomes
Requirements
Do you have experience in Time management?, Skills & Experience Technical Skills
- SQL, Excel, and data visualisation tools (Power BI, Tableau)
- Python, R, or similar scripting languages
Core Skills
- Strong analytical and problem-solving abilities
- Data validation and attention to detail
- Ability to explain technical concepts to non-technical audiences
- Effective prioritisation and time management
Knowledge & Experience
- Degree in Data Science, Statistics, Mathematics, Computer Science, or similar
- Proven experience in data analysis
- Experience in financial services, insurance, or similar environments (preferred)
Benefits & conditions
Pulled from the full job description
- Annual leave
- Company pension
- Health & wellbeing programme, We offer a competitive compensation and benefits package, opportunities for career growth, Pension plan with company-matched contributions, generous time off and flexible work/life balance, an employee wellness program, and an awards and recognition program - all in a creative, fast-growing, and innovative company.