Company Description

Whether you’re working from home or on your way to the office, chances are you’re probably reading this because you’re seeking a new adventure, or you’re up for a new challenge. GROW Inc might just be that for you!

So, who is GROW Inc?
Founded in 2016, we’re the Australian FinTech success story you probably haven’t heard about. We’re solving big problems in the Superannuation and Managed Funds industry. The administration platforms (the software that tracks everything to do with your super) are built on things you or your parents would recognise from the glory days of 90’s computing.

How are we doing it?
We’re solving this by disrupting the wealth management industry with DLTA, our platform built on Distributed Ledger Technology which improves the financial wellbeing of Australians. We’re making Super more timely and information more accessible whilst enabling wealth management companies to offer more cost effective solutions.

We’re rebels with a cause. We’re authentic, diverse, and embrace our differences as we continue to put a dent in the universe. We know diversity of thought helps us to build better solutions for our customers which is why we encourage the entire GROW team to bring their whole selves to work each and every day.

Job Description

● Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
● Provide clean and appropriate data sets/views for data and reporting requirements to be
delivered
● Provide insights and workshops with Data Engineers on the gaps of data in the data lake for
data engineers to pipeline in
● Apply appropriate statistical calculations and models against data sets in GROW’s Data
Lake
● Continuous improvement activities on performance optimisation of all data pipelines and
data stores, applying engineering best practices to code ie Versioning, automated testing,
CI/CD
● Provide input into the discovery and solution phase for Business/Client needs, assessing
risk in exposing data and working in line with GROW’s risk framework
● Document changes, calculation methodologies and process of executing reports in
GROW’s Wiki Appropriately
● Contribute to business cases the Head of Data Engineering will be putting forward to
GROW’s Strategic Leadership Team
● Support the Product Owner in commun

Additional Information

Why you’ll love working at GROW

• ME Days - Take an extra 1 day per month (on top of your annual leave) from February to December!
• Birthday - Take an extra day off per year on your birthday!
• Weekly Pay Cycle - No more waiting for PayDay!
• Hybrid Work Arrangement - We have a true hybrid arrangement!
• Exciting Discounts - Think movie tickets, gift cards & even electronics!

Looking for a job can be stressful and we don’t want you agonising over the wording of your cover letter, so don’t include one. Just make sure your CV is well-written and detailed enough so we can get a better idea of the type of person you are. Even if you don’t meet every single requirement, but you feel inspired to join our mission, we encourage you to send in your application. You never know, you could be the perfect person to join our team!