This Australian owned environmental startup has experienced significant success and growth since starting its operations 18 months ago. With continued growth and strength in this market, they are looking to grow out their data analytics function across the business.
With an office of 35 people, you will be happy working within a start-up nature where no two days are the same. You will be confident in working in an autonomous role and be self-sufficient in sourcing the relevant information from the relevant stakeholders within the business.
This is a fast-paced business which is rapidly growing and they pride themselves on their hard working, collaborative and caring culture where their employees do come first. The managers and leaders of the business are very impressive and have excellent leadership skills. They are all passionate about what they do and are keen to work with like-minded people who show initiative and are happy working in an unstructured environment.
Focusing in the Fraud, Risk and Internal Audit function of the Group, you will be responsible for establishing a framework and processes in which data analytics can play an integral part in identifying fraudulent activity and risk in their business operations.
Working with stakeholders and contract owners, you will be pulling together key information in which will be essential for contract owners to have more ownership of their individual contracts and being able to highlight and escalate issues to the Fraud, Risk and Internal Audit function of the business.
Currently there are no processes in place and data analytics has not been previously utilised in this way so the successful candidate will be responsible for stakeholder management and gathering what information is required in the reporting and dashboards, cleansing data and working within large data sets as well as utilising PowerBI to build reports and dashboards for the operations team.
The successful candidate will have a strong background in data analytics with experience across fraud, risk and audit to be considered for this role. Experience in establishing processes from nothing and partnering with the business to establish the necessary reporting for this function will be desirable.
- Strong data and analytical skills; minimum 6 years’ experience with data management and/or advanced analytics
- Must come from data analytics/modelling background across fraud and risk.
- SQL and PowerBI; Understanding of relational databases
- Big data environments
- Management of multiple projects end-to-end, from ideation to delivery
- Undergraduate degree in a quantitative field (e.g. Finance /Engineering / Economics / Computer Science / Statistics) is essential.
Candidates should be available immediately or within a 1 week notice period.
For further information, please call Tiffany Way on 07 3854 3802 or email firstname.lastname@example.org