This tech scaleup is one of the fastest-growing B2C platforms in Australia (and the world) and is disrupting a > $100billion industry. Its reach is global and has a physical presence across three continents already.
It is shaping the future of what has been a traditional and stagnant industry and have already helped hundreds of thousands of customers (B2B and B2C) across the country through its platform.
The company is heavily investing into growth and marketing and is now on the lookout for a highly commercial Growth & Marketing Analytics Manager to drive valuable actionable insights for the company.
This is a pivotal position in the company and will be both commercial and technical in nature.
This person will be embedded in the Growth & Marketing team and working alongside the Product, Sales, Engineering/tech and senior leadership teams to provide vital data-driven commercial insights that will fuel growth of the company in Australia and for its expansion.
For example, this may involve performing experiments and analysing data on performance, customers, results/outcomes and making recommendations to drive successful digital marketing campaigns, growth opportunities. Other aspects also include working with the Product team to provide insights and recommendations on how to shape the product to optimise its growth.
In addition, you'll be owning the analytics function and have the opportunity to shape it, futureproof it and implement best practices, which is a great way to build a legacy here. This will also involve more technical aspects such as segmenting the database to best target customers, clients etc, upholding data integrity and providing BI solutions.
You would have either an Analytics/Data Analyst background with strong knowledge and experience in marketing; or a Marketer with very strong analytics skillset; or a Growth Marketer/Hacker with a very strong analytics skillset.
Commercial acumen and strong communication skills are a must, so is experience with data reporting, segmentation, marketing performance metrics. An understanding of marketing concepts such as sales lifecycle and LTV is also important.
You must also have experience with Google Analytics and Tag Manager, highly proficient with Excel (pivot tables + v-lookups level) and experience with SQL and Python are advantageous although not essential.