Customer Data Analyst

Our Customer Data Analysts are both customer facing & technical, using SQL & Python to onboard our customers into our GrowthOs platform.
- This might mean you've been a Solutions Engineer, Technical Onboarding Specialist, Data Analyst, Consultant or similar. What's most important is that you have the combination of advanced SQL & Python skills combined with customer facing experience / ability. Maybe a little more technically confident in SQL than some Analysts but more customer facing than a Data Engineering.
- We're looking for either Mid or Senior level people for this next hire but also this is a regular open role for us, so please don't self reject based on your current Seniority.
- Our office is right near Central station in Sydney and we work on a very flexible hybrid policy of around 2 days a week in the office.The role
- You will own large parts of the customer onboarding lifecycle including determining data requirements, collecting and analysing data, preparing data for modelling and setting up pipelines to import it into the platform.
- You will also:
- Lead customer workshops, and project meetings, track issues, communicate and mitigate risks, and manage deliverables with a focus on timeline, scope and quality- Collaborate with Marketing Science, Growth and Data Science teams to build strong relationships, processes and outcomes for our customer
- Quickly digest and understand new data sets, as well as develop an understanding of client business sectors and related use cases.- Contribute to product improvements by providing opinions around the prioritisation of features.What we are looking for
- The key requirements are a minimum of 2 years commercial experience using SQL & Python to wrangle & organise large data sets, ideally in technical roles with exposure to being customer facing. That customer facing part doesn't have to be from the same technical role but we are looking for a combination of both in your history.
- Experience managing multiple projects / clients simultaneously and maintaining a high level of attention to detail when switching between, while hitting timeline deliverables.
- Strong customer facing skills, ideally you'll have experience working with Senior external stakeholders or if not, a natural ability to communicate and manage expectations.
- We are also looking for those strong communication skills to be there when working with your colleagues. Raise issues before they arise, communicate potential deadline creep & the ability to give and receive constructive feedback.
- It's a bonus if you also have:
- You have a solid understanding of data science fundamentals
- Experience in Marketing Analytics and/or Marketing Econometrics
- Experience using Google BigQuery or similar tools
- Experience in data warehousing and data management

About Mutinex

We might be an early stage startup but we already have strong product market fit, household name clients (Samsung, Mars, CUB and ING to name a few) and millions in revenue.
Being early stage means we're also still pretty scrappy and you wouldn't be coming into a well oiled machine, yet. But you would get a lot of opportunity to design, build and oil the machine until it's super oily.
We aren't aiming to be another Tech Unicorn because Unicorns aren't real. We are aiming (and confident of being) more like a real and really big animal that lives for a long time, like a Bowhead Whale.
Equity is on offer on top of base salary and super with amazing growth potential and more benefits to come as we build out our offering.

Mutinex is a startup B2B SaaS platform that provides in-depth data analytics for marketers to better understand their ROI and make better decisions with future spend.

Founded in Australia and with recent seed capital ($5 million, backed by EVP) we are growing our team to continue to improve our product, bring in new customers and enable them to make better and more informed decisions.

We have a hybrid work environment with no set or minimum days in the office and with teams in Sydney, Melbourne and expanding into the US.
With a team of around 35 people we value high quality communication, strong opinions that are held loosely and people who can give and take feedback well.