Business Intelligence; BI) Analyst

At Smart, our mission is to transform retirement, savings and financial wellbeing, across all generations, around the world.

As part of the central data team, you will work closely with stakeholders to translate business challenges into questions that can be answered with data, delivering high-quality business intelligence and reporting solutions that enable self-service and support effective decision-making across the business. We are a small team with big ambitions. We are building the foundations to enable our vision of maximising the value that our extensive dataset and modern data stack can generate for the business.

We are designing for scale and embracing AI to accelerate delivery whilst enhancing quality and reliability of output. We support the entire business so our data is varied and complex. As such, we are seeking a self-starter who is comfortable navigating ambiguity and independently finding solutions within a fast paced environment. If you match our ambitions, are passionate about creating value from data, and want to help drive the evolution of our data capabilities.

• Build & maintain BI solutions:
  Design, build, and maintain high-performance, intuitive reports and interactive dashboards (primarily using Tableau) to enable self-service across the organisation.
• Data visualisation:
  Translate complex datasets and concepts into clear, simple visuals that reduce cognitive load and accelerate decision-making.
• Design for scalability:
  Develop data assets with enterprise scale in mind, ensuring solutions remain fast, maintainable, and adaptable as data volumes and business complexity grow.
• Metric standardisation:
  Help establish and maintain centralised business definitions to ensure consistency across all reporting and analytics.

• Gather and refine requirements:
  Partner with stakeholders across the organisation to translate business needs into well-defined technical reporting requirements.
• Data translation:
  Explain reporting to stakeholders in clear, non-technical terms and support interpretation of outputs which drive decision-making.
• Drive data literacy:
  Support appropriate and effective use of data around the business through engagement, training and clear stakeholder-facing documentation.

• Build robust data models:
  Develop and maintain optimised and reliable solutions in our data warehouse (Redshift) using tools like dbt, collaborating closely with Data Engineering where required.
• Ensure trust & accuracy:
  Maintain data quality and reporting reliability, manage the impact of upstream changes, and support business-critical processes with direct regulatory or customer impact.
• Become an expert on our data:
  Build and maintain a deep understanding of our dataset, ensuring appropriate data sources and definitions are leveraged across BI and analytics solutions.
• Peer review:
  Participate in code reviews and collaborative QA to validate the accuracy, efficiency and value of output.

• Automate & optimise:
  Identify opportunities to improve efficiency and reliability through automation, better data processes and the responsible use of AI.
• Consolidate & rationalise:
  Continually review our existing reporting inventory, identifying obsolete reports and supporting our transition to multi-use case data solutions which eliminate duplication, inconsistency and technical debt.
• Be an active team player:
  Contribute your ideas to team discussions, retrospectives, and future planning to continuously improve how we work.

• Technical documentation:
  Create and maintain clear technical documentation for BI data…