We’re looking for a candidate to fill this position in an exciting company.
Responsible for gathering and analyzing the various sources of data to determine the appropriate data source(s) for the reporting and analysis needs of the team including digitalization to enable fast and accurate data manipulation of large data sets.
Evaluate the data flows and work closely with internal and external stakeholders including third party providers, project consultants, external vendors to gather, arrange, process and model the data.
Complete deep-dive analytic reviews across different asset classes to determine standard costs and investigate variances with actual costs.
Review and recommend data management strategy and solution to automate routine submission, consolidation, reporting and analysis.
Implement data analytics projects from business requirement gathering, ideation to dashboard creation and subsequently manages business performance reporting, implement business intelligence tools and dashboard reports.
Proactively deliver information and insights on the data gathered, including trends, insights and forecasts into meaningful presentations.
Managing database access, keeping databases up to date and ensuring the databases meet user requirements.
Supports management team and Heads of Departments with data-drive analysis and uses the data to drive performance and make decisions
Degree in Business/Data Analytics, Quantity Surveying, Cost Management or its equivalent.
5 – 8 years of relevant experience.
Proven experience as a data analyst, cost specialist or similar role.
Proficiency with database/analytics software and experience in data analytics solutions. Experience in SAP will be an added advantage.
Ability to prepare detailed documents, presentations, graphs and reports
Demonstrate great attention to details with strong analytical skills and good business acumen
Possess a high level of initiative, hands-on, resourceful and able to work independently in a fast-paced environment
Strong ability to distill business process requirements/improvements into sensible and scalable data models.
Prior experience in a real estate industry will be an added advantage.