Data Analyst; SQL & Python

We are seeking a skilled Data Analyst to support the GDFP IFRS 17 reporting platform focusing on the development maintenance and enhancement of Tableau dashboards and data models within a highly controlled reporting environment.

The role will lead the migration of Tableau workbooks and data sources as Snowflake platforms are reengineered and moved to a new server including controlled updates to semantic models to reflect backend changes. A strong emphasis will be placed on testing reconciliation and documented assurance to ensure reports align with governed data and reporting requirements.

You will work within established SDLC and change processes producing required artefacts and contribute to the maturation of Tableau development practices including the introduction of CI/CD using Git/Git Hub and Python based Tableau tooling.

What youll be doing:

• Designing developing and maintaining Tableau dashboards data sources and extracts on the GDFP IFRS 17 platform ensuring outputs are accurate performant and aligned to governed reporting standards
• Delivering Tableau migration activities as Snowflake data sources are reengineered and migrated to a new server including updating connections and applying controlled changes to semantic and data models to reflect backend updates
• Contributing to the advancement of Tableau development practices by helping implement stronger SDLC controls including version control (Git/Git Hub) CI/CD pipelines and deployment automation using Python based Tableau tooling and agreed engineering standards
• Planning and executing comprehensive testing and reconciliation activities to validate Tableau outputs against backend data producing clear auditable evidence and required artefacts such as test scripts reconciliation results and Test Completion Reports
• Collaborating closely with the wider IFRS 17 platform teams including data engineering QA governance and business stakeholders to gather requirements triage issues and deliver change through defined processes and timelines
• Providing businessasusual support for Tableau dashboards and data sources including monitoring incident and defect investigation performance optimisation and timely resolution in line with operational expectations
• Using SQL (Snowflake) and Tableau best practices to design and maintain robust datasets and data models including joins aggregations and calculations to enable consistent reporting and scalable dashboard development
• Operating effectively within a controlled and audited environment by adhering to governance and security standards maintaining comprehensive documentation and artefacts (e.g. Change Requests Implementation Plans runbooks user guides) and ensuring all changes are traceable peer reviewed and released through approved processes

Who were looking for:

• A degree in a technical or numerate discipline a Level 4 apprenticeship in a relevant field or equivalent professional experience with a focus on data analysis and visualisation
• Strong experience working with high volume datasets demonstrating excellent attention to detail through robust data testing reconciliation and clear evidencing of results
• Proven expertise in developing and maintaining high quality Tableau dashboards including workbooks data sources calculations extracts performance optimisation and best practice visual design
• Experience designing and maintaining reporting datasets and data models (e.g. star or semantic layers) using SQL with the ability to adapt models as upstream Snowflake data sources evolve
• Demonstrated ability to improve and automate analytics and reporting delivery processes including repeatable deployments standardised testing and reusable components to reduce manual effort and operational risk
• Strong technical capability across SQL (ideally Snowflake) and advanced Tableau features; experience with Python Git/Git Hub CI/CD concepts or data preparation tools (e.g. Alteryx) is advantageous
• Comfortable working across multiple datasets and environments in a controlled and governed delivery model collaborating effectively with data engineering and business stakeholders
• A disciplined engineering focused mindset able to manage workload…