Data Analyst, AI and Data Products and Model Assurance, AIDO

You will join AIDO as a Data Analyst. You will support the preparation, analysis and visualisation of MOM data to generate useful insights for policy and operational work. You will also help keep the Data Lab's datasets, analytical products and user support processes reliable, well-documented and secure. This is a hands-on developmental role suited to candidates who have a good foundation in data analytics and are keen to deepen their technical skills through practical projects and guidance from more experienced team members. Responsibilities • Carry out descriptive and exploratory analysis to identify trends, patterns and data-quality issues. • Develop and maintain dashboards, visualisations and recurring analytical reports for internal users. • Support data analytics projects by translating clearly defined business questions into data requirements, analysis and findings. • Assist with onboarding, documenting and maintaining datasets in the Data Lab, including data dictionaries, metadata and standard operating procedures. • Perform data checks and support the secure handling, access and use of data in line with applicable policies and procedures. • Respond to user queries about available datasets, data definitions and basic analytical methods, with guidance where required. • Work with internal and external stakeholders to understand their data needs, communicate findings clearly and improve analytical products based on feedback. • Support process improvement and simple automation initiatives that reduce manual work and improve the reliability of Data Lab operations. Requirements • Tertiary qualifications in data analytics, statistics, economics, computer science, information systems, engineering, social sciences or related discipline. Fresh graduates may apply. • Foundational knowledge of data preparation, exploratory analysis, statistics and data visualisation. • Working knowledge of SQL and at least one analytical programming language, preferably Python. • Familiarity with dashboarding or visualisation tools such as Power BI or Tableau. • Good analytical and problem-solving skills, with curiosity to understand the business context behind the data. • Clear written and verbal communication skills, and the ability to work collaboratively with stakeholders.