Data Analytics Manager

2 weeks ago

Sydney or Melbourne, Australia The Onset Full time $180,000 - $200,000 per year

Job Description

Data & Analytics Manager - Marketing, Growth & Customer Focused | Fast-Growing Scale-Up | Building models like MMM/MTA

Sydney or Melbourne | Hybrid (2 days WFO, 3 days WFH) | Full-Time 

$180k-200k + super + excellent shares & benefits

Are you an experienced analytics leader who loves turning data into sharp insights that shape marketing, brand, and growth strategies? If so, we want to hear from you 

We're partnering with a high-growth, purpose-led scale-up in the pet wellness space. With a strong omnichannel presence, a distinctive brand voice, and a loyal customer base, they've invested heavily in their modern data stack. Now, they're looking for someone to help unlock the next level of growth by using data to ask better questions, run smarter experiments, and guide strategic decisions.

In this high-impact role, you'll own the analytics roadmap and work closely with the CEO, marketing, growth, and product teams to drive brand measurement, campaign performance, and customer insights — helping the business understand not just what's happening, but why, and what to do next

What You'll Be Doing:

You'll lead a team of five (3x Data Analysts, 1x Data Engineer, 1x Analytics Engineer) while staying hands-on — executing a high-impact roadmap that includes:

  • Partnering with marketing and product teams to uncover actionable insights across campaigns, acquisition performance, and experimentation strategy

  • Designing and delivering models to measure brand impact (e.g. out-of-home, TV, social, digital) — including MMM, attribution, incrementality, and multivariate analysis

  • Running experiments, defining statistical confidence, and guiding teams on how to test and learn effectively

  • Translating grey or ambiguous analytics problems into structured approaches with measurable outcomes

  • Acting as the bridge between the data team and business stakeholders — ensuring insights are accessible, trusted, and actionable

  • Staying hands-on: writing SQL, using tools like dbt and Omni (or Tableau/Looker), and working closely with a strong data engineering team

What We're Looking For:

  • Experience in D2C, retail, FMCG, or eCommerce environments — with a deep understanding of customer data, brand performance, and experimentation

  • Background in marketing/growth/brand analytics or marketing science — ideally in product-led businesses

  • Confident working with marketing and brand teams to uncover the "why" behind performance — and challenge assumptions where needed

  • Strong skills in SQL, plus experience with R or Python, experimentation frameworks, and marketing metrics

  • Familiarity with or experience building models such as MMM or MTA — or the ability to demonstrate a solid understanding of how to apply them

  • Comfortable working across both business and technical teams, shifting between strategic thinking and hands-on execution

  • Thrive in ambiguous environments — able to bring clarity, ask the right questions, and build structure where it doesn't yet exist

Perks and benefits:

  • Annual learning and development budget

  • Up to 18 weeks paid parental leave top-up

  • Work from anywhere for up to 8 weeks each year

  • Hybrid-friendly (2 days in office) and pet-friendly offices

  • Wellbeing and fitness tools/subscriptions included

Interested? Apply now or message Tania Graham-Brown on Linkedin if you're keen to know more

#LI-AL1

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