AAC - Dog and pony show. Nothing "Advanced". Avoid at all costs.
Pros
- Wesfarmers share plan. - People will naivly assume that because you work for Wesfarmers, you are doing important work.
Cons
- Terrible, outdated culture. Claim to be an advanced tech/data opperation but mindset is 20 years behind the ball. Worse than working at a bank. - Leaders openly bicker on team calls, fueling a toxic culture. - Management completely clueless when it comes to how to make progress on or complelte a data/advanced analytics project. Really good at starting them though. - Spend more time discussing how to build the team image than actually doing real work. Everything is for show. - Data Science at the AAC equates to cutting and filtering data, producing packs for people who can't run simple queries on their data. - Fake culture, fake work. Management like to reference every machine learning technique and package in promo material - actually do almost none. - Practical test is nothing like the job. Job description is nothing like the job. - 3 month enforced notice period for quiting makes it very difficult to find a job afterwards. Initially claim to be flexible, yet act resentful when people leave and enforce 12 weeks to the day on everyone. - Employee churn is huge. - WFH was only tolerated becasue of lockdowns. Discouraged the entire time. - Commute is heavily downplayed before starting. Expect 90 minute travel each way depending on allocation.