We are seeking a detail-oriented and proactive Analyst to join our Financial Planning & Data Analysis (FP&DA) team. The successful candidate will play a key role in analysing, cleaning, and collating data relating to development projects, investment performance, capital raising activities, and operational effectiveness. This data will feed into high-quality reports and dashboards for the Board, senior management, and external stakeholders, with the FP&DA team as ‘owners’ of this data.
This job offers exposure to a wide range of operations and the opportunity to turn raw data into actionable insights and business impact.
Key Responsibilities
- Data Collection & Collation
- Gather data from internal teams (development, investments, operations, finance) and external sources
- Maintain organised data repositories for ongoing analysis and reporting
- Data Cleaning & Quality Control
- Validate and reconcile datasets to ensure accuracy, completeness, and consistency
- Identify data gaps, anomalies, and inconsistencies; work with relevant teams to resolve them
- Data Analysis & Insights
- Perform basic to intermediate data analysis to support financial modelling and performance tracking
- Summarise findings into clear visuals, tables, and dashboards for reporting purposes
- Assist in developing KPIs to measure project performance and operational effectiveness
- Forecasting
- Utilising and extrapolating the data to prepare budget and forecasts
- Reporting Support
- Prepare data inputs for management and board reporting packs
- Prepare presentations and summary reports for senior stakeholders and investors
- Support the FP&DA team in ad-hoc analysis and scenario modelling
- Process Improvement
- Recommend and implement improvements in data capture, storage, and reporting processes
- Support automation initiatives to improve data efficiency
Requirements
Minimally 2-4 years of work experience in funds management, finance, analytics, or real estateBachelor’s degree in Finance, Accounting, Economics, Data Analytics, or related fieldStrong proficiency in systems (EPM)Strong proficiency in Excel (pivot tables, lookup functions, data formatting)Experience with data visualisation tools (Power BI, or similar)Understanding of financial statements and investment conceptsStrong attention to detail with a methodical approach to data cleaning and validationStrong analytical and problem-solving skillsGood communication skills to work with different departments and stakeholders