Application Form

Data Analyst

SYDNEY, NSW / Brisbane, Eagle Farm, QLD AUSTRALIA

About AssetFuture 

AssetFuture is a global leader in asset optimisation. Our SaaS Solution works behind-the-scenes to make complex decisions simpler. Our vision is to improve communities by enabling a range of organisations to make significant cost savings, reduce risk and increase performance of physical assets across the entire portfolio, through evidence-based decision making.

Reporting to the Data Excellence Manager, as Data Analyst you will validate, manage and analyse the AssetFuture database. As an integral part of the data team, you will liaise closely with the project management and communications teams and the field assessors.  

The objective of the role is to draw insights to enable clients and management to deliver effective operational business decisions.

The role can be based in Sydney, NSW, or at our Brisbane office at Eagle Farm, QLD. Flexible working is possible.

What you will be doing:

  • Validate data collected by our field assessors against floor plans, using construction knowledge and photographs taken of all spaces

  • Follow up with the field assessors with relevant questions regarding the data collected

  • Carry out the data validation process in accordance with the Validation Guidelines documentation

  • Carry out general database administration tasks

  • Assist in data analysis, visualisation, and reporting

  • Collaborate and contribute as an effective member of the Data Excellence team

  • Initiate and maintain an excellent level of verbal and written communications with clients, internal stakeholders and team members

  • Respond to unforeseen queries and challenges in a calm and courteous way, remaining polite and professional at all times

To be successful in this role, you will have:

  • 1-2 years’ experience of working with data in a professional context, handling large data sets in validation, manipulation and analysis

  • Exceptional attention to detail and a high level of accuracy as data analysis drives critical business decisions and recommendations

  • Education/Certification: Bachelor qualification in the areas of Engineering, Computer Science and/or Statistics discipline

  • Advanced skills in the use of Microsoft Office - Word and Excel

  • Ability to learn the functionality and use of specific computer software

  • Maths Skills - understanding of basic statistical methods

  • Programming Skills - understanding of programming logic

  • Familiarity with Python, R, SQL – ideal

  • Excellent written and verbal communication skills

  • Superior time management skills to meet frequent tight deadlines

  • Professional attitude and a strong commercial awareness

  • Ability to remain calm and think clearly in a variety of situations

  • Resourcefulness in finding answers yourself and knowing when to escalate or seek help from others

  • Adaptability in a fast-paced and progressive working environment

If you are passionate about delivering accurate data that drives business decisions and have demonstrated experience in data validation, manipulation and analysis, please fill in the form below – we would love to hear from you.

For a confidential discussion please call Charlotte Williams on 0481 008 704.

We are only able to consider candidates with full, permanent Australian work rights.

In order to comply with various Federal/State/Territory Government mandates and Client site requirements, you must be able to provide proof of vaccination if required to do so as part of the Assetlink recruitment process.

AssetFuture’s Diversity Commitment: AssetFuture is committed to maintaining, growing and supporting our diverse and inclusive culture, by seeking and promoting diversity within each of our work sites. We welcome and encourage applications from diverse community groups and ages including Aboriginal and Torres Strait Islander, LGBTIQA, people with disabilities, women, and other diversity groups. 

 AssetFuture recognises the benefits of diversity in creating amazing customer experiences, increasing productivity and encouraging business growth.