Analyst - Advanced Analytics

Job Summary

Job Type: Permanent

Responsibilities Business Insights and Decision Support

• Translate business questions into clear hypotheses and analytical approaches.
• Analyse customer, commercial and operational data to identify trends, opportunities, risks and performance drivers.
• Explain what happened, why it happened and what actions should be considered.
• Create clear data stories, visualisations and presentations for business and senior stakeholders.
• Support the measurement of business outcomes and value generated by analytics.

Advanced Analytics & Data Science

• Conduct exploratory analysis and apply appropriate statistical techniques.
• Contribute to segmentation, forecasting, propensity modelling, behavioural analysis and hypothesis testing.
• Develop, test and validate statistical and machine-learning models using Python or equivalent tools.
• Evaluate models using appropriate performance, interpretability and business-value measures.
• Work with engineering and technology teams to support model operationalisation and monitoring.
• Document methodologies, assumptions, limitations and findings.

Analytics Products, Visualisation and Automation

• Define analytical requirements, KPIs, business rules and calculation logic for dashboards and analytical products.
• Partner with Power BI developers to translate analytical requirements into effective reporting and visualisation solutions.
• Review and validate dashboard outputs to ensure analytical accuracy and alignment with business objectives.
• Support user acceptance testing and interpretation of analytical outputs.
• Automate recurring analysis and manual processes to improve efficiency and scalability.
• Maintain documentation covering analytical logic, data sources and assumptions.

Collaboration and Delivery

• Work collaboratively across analytics, data science, engineering, visualisation and business teams.
• Participate in Agile delivery processes, including sprint planning, demonstrations and retrospectives.
• Communicate progress, dependencies, analytical limitations and delivery risks clearly.
• Contribute to reusable analytical methods, coding standards and team best practices.

Experience & Qualifications Required

• Bachelors or Masters degree in Analytics, Statistics, Economics, Mathematics, Computer Science, Engineering, Business or a related discipline, or equivalent practical experience.
• Approximately 35 years of experience in analytics, data science, customer analytics or a related analytical role.
• Hands-on experience analysing large or complex datasets and translating analysis into business insights.
• Strong SQL skills and experience working with relational or cloud-based data platforms.
• Proficiency in Python or R for data analysis, statistical analysis or machine learning.
• Working knowledge of statistical concepts and machine-learning techniques, including model development and evaluation.
• Experience developing dashboards or analytical visualisations using Power BI, Tableau or an equivalent platform.
• Ability to communicate analytical findings clearly to both technical and non-technical audiences.
• Strong problem-solving skills and the ability to select an appropriate analytical approach for a business question.
• Experience working collaboratively with business stakeholders and cross-functional delivery teams.
• Understanding of data quality, analytical controls and documentation requirements.

Desirable Experience and Skills

• Experience in Sales, Marketing, Product, Customer or Operational Analytics.
• Experience in financial services or another regulated industry.
• Experience with Snowflake, AWS or SageMaker.
• Knowledge of Power BI data modelling and DAX.
• Experience with Agile delivery and Jira.
• Familiarity with Git or another version-control tool.
• Exposure to Generative AI, large language models or agentic workflows.
• Familiarity with LangChain, LangGraph or MLOps concepts.