Job Opportunities API

At Smart, our mission is to transform retirement, savings and financial wellbeing, across all generations, around the world. THE ROLE As part of the Data Analytics team, you will work closely with stakeholders to translate business challenges into data problems, delivering high-quality and clearly articulated analysis, reporting, and data-driven insights that support effective decision-making. 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. Because we support the entire business, 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, then we would love to hear from you. What you will do: Stakeholder Partnership & Communication Define requirements : Partner with stakeholders across the company to translate business questions into clear analytics requirements and identify the right data points. Data Translation & Storytelling: Explain analytical outputs and insights to stakeholders in clear, non-technical terms and, as required, build a narrative to support effective decision-making. Drive data literacy : Support initiatives that enable stakeholders to self-serve data more effectively. Analytics & Business Intelligence Build BI solutions: Design, build, and maintain reports and dashboards (primarily using Tableau) used across the organisation, including Board-level KPI reporting. Data Analysis & Insights: Manipulate and analyse complex data to answer business questions and identify trends, insights, and opportunities. Data Modeling & Quality Assurance 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. Peer review: Participate in code reviews and collaborative QA to validate the accuracy and value of our analytical output. Continuous Improvement & Team Culture Automate & optimise: Identify opportunities to improve efficiency through automation, better data processes and the responsible use of AI. Be an active team player: Contribute your ideas to team discussions, retrospectives, and future planning to continuously improve how we work together and support the business. WHO WE ARE LOOKING FOR The skills, experience, and aptitudes we are looking for are listed below but please don’t be discouraged from applying if you don’t meet every single one of these criteria – having a ‘can do’ attitude is sometimes more important than being able to tick every box: Experience & Attributes Proven track record: 3+ years of experience in data analysis, with a focus on data manipulation, reporting and insight analytics. Stakeholder partnership: A proven ability to work with stakeholders to deeply understand business problems, translate requirements into effective analytics solutions, and advise on best approaches. Data storytelling & coaching: An effective technical communicator who can translate complex data for non-technical audiences and actively coach stakeholders to enhance overall data maturity. Analytical curiosity: Inquisitive by nature, with sharp attention to detail and a natural drive to look beyond the surface numbers to uncover actionable insights. Ambitious and agile learner: A fast, curious learner who is eager to independently explore and pick