The successful candidate will deliver descriptive analytics solutions that help business stakeholders understand performance, uncover insights and make informed decisions.
What will make you successful in this role?
Key responsibilities include:
Partner with business stakeholders to understand requirements and translate business needs into data-driven reporting and analytics solutions.
Source, transform, analyse and validate data from multiple systems and platforms.
Develop, maintain and enhance dashboards, reports, and visualisations that support decision-making.
Ensure data quality through profiling, validation, reconciliation and ongoing monitoring.
Analyse complex datasets to identify trends, patterns, risks and opportunities that drive business value.
Collaborate with data engineering and technology teams to improve data accessibility, quality and reporting capabilities.
Support testing and user acceptance activities to ensure analytics solutions meet business requirements.
Maintain clear documentation of data definitions, business rules and reporting processes.
Contribute to team capability by sharing knowledge, promoting best practices and supporting junior analysts where appropriate.
Identify opportunities to leverage analytics, automation, AI to improve efficiency, insights and user experience.
Qualifications and experience
Bachelor's degree in Information Systems, Statistics, Data Science, Computer Science, Engineering, or a related field.
2-4 years' experience in data analytics, reporting, or business intelligence.
Experience within financial services would be advantageous.
Relevant certifications in analytics, cloud data platforms, or visualisation tools would be advantageous.
Knowledge and skills
Strong SQL skills for data extraction, transformation and analysis.
Experience building dashboards and visualisations using Tableau or similar BI platforms.
Knowledge of Snowflake or other modern cloud-based data platforms.
Familiarity with GitHub and collaborative development practices.
Exposure to dbt or similar data transformation frameworks.
Understanding of data modelling, ETL/ELT processes and data quality management.
Ability to translate business requirements into practical analytics and reporting solutions.
Strong communication and stakeholder engagement skills, with the ability to convey technical concepts to non-technical audiences.
Exposure to Python, analytics automation, or AI-enabled analytics solutions will be advantageous.
Experience working in Agile or iterative delivery environments.
Personal attributes
Analytical, curious and solutions-oriented.
Strong problem-solving skills with a keen attention to detail.
Stakeholder-focused with a customer-centric mindset.
Self-motivated and able to work independently.
Collaborative and effective in cross-functional teams.
Adaptable, with a willingness to learn new technologies and approaches.
Innovative, with an interest in applying AI and automation to enhance analytics outcomes.