Job Title

IN A NUTSHELLAt Bellroy, we dont just market products, we tell meaningful stories and seek to understand what actually drives customer behaviour. We''re looking for someone who thrives on solving complex, cross-channel marketing puzzles by diving beneath surface metrics and uncovering insights others might miss.This role sits within our Paid Marketing team, but your impact will stretch far beyond. You''ll build the dashboards, design the tests, and create the analytical frameworks that help us understand true marketing effectiveness. Part of that is evolving our Marketing Mix Modelling (MMM), but it''s bigger than any single tool - you''ll design experiments, challenge assumptions with data, and help the team move faster with more confidence. The best part? You''ll have real autonomy to shape how we measure and improve performance.This is a role for someone who sees opportunity where others see complexity. Someone who can build clarity from ambiguity and create solutions that actually get used, even when that means wrangling stakeholders, navigating competing priorities, and figuring out answers to questions we haven''t fully defined yet.If you''re energised by turning data into insights that help teams make smarter decisions, and you have the analytical chops to back it up, this role might be exactly what you''re looking for.Have 5-7 years analysing data in a business context (bonus if it''s marketing, but we value sharp thinking over specific experience)Can write SQL queries in your sleep, build Google Sheets and Looker dashboards that others want to use, and maybe dabble in Python/R on the sideThink in ecosystems, not silos. You see how channels interact and influence each other across the customer journeyUnderstand there''s a real person behind every data point. You ground your analysis in actual customer behaviour, not just isolated metricsKnow enough about attribution, incrementality, and measurement frameworks to ask the right questions (you don''t need to be building MMMs from scratch)Navigate cross-functional conversations with ease building trust and alignment across teams with different prioritiesCommunicate insights, not just numbers and enjoy turning complex analysis into stories that stickCan manage multiple projects and stakeholders without dropping balls you know when to push forward and when to loop others inBonus: You''ve worked with GA4, Segment, BigQuery or similar platformsSpotted something unusual in campaign performance data and dug deeper to understand why it''s happening, not just whatBuilt reporting that connects ad metrics to onsite performance, surfacing gaps between clicks and conversionsPartnered with a Performance Marketing Specialist to design an A/B test that was both technically sound and will lead to better decision-makingSimplified a dashboard after noticing which metrics get used, making it easier for others to get to the signal without the noiseHad a stakeholder push back on your findings, then worked with them to understand what they really needed to knowSat with your manager to translate MMM outputs into recommendations that influence how budgets are allocatedWorked with the data science team on CLTV analysis, using SQL to identify the customer segments that can help inform our marketing strategyIdentified a gap in how we track customer journeys and started mapping out a solution, coordinating next steps with data engineering between meetingsAdded documentation to our internal Marketing Data wiki, not just for yourself, but to make data more accessible for the wider teamLOCATION AND HOURSThis role is full-time and based in our Collingwood HQ with WFH flexibility.WHY WORK FOR BELLROY?At Bellroy, it takes a wonderfully diverse crew to make everything tick. Were a close-knit group of thinkers and makers from over 25 different countries, each contributing unique skills to achieve our shared vision. We believe that embracing diverse backgrounds and perspectives is key to staying agile and resilient. So, even if your experience isnt an exact match, but you feel you have something special to contribute, wed love to hear from you.Bellroy is committed to making our hiring process accessible to everyone, including individuals with disabilities. If you need reasonable accommodations at any stagewhether its applying, interviewing, completing pre-employment testing, or otherwise participating in the selection processplease contact us at careers@bellroy.com. Include your full name, the best way to reach you, and the type of accommodation you need to support you throughout the application process. Were here to help and ensure you have the best possible experience.Bellroys mission is to inspire better ways to carry; use business as a force for good; and help the world and our crew flourish. We make great carry products that delight people in their everyday lives, while constantly innovating to improve the sustainability of our materials . We donate a portion of our revenue to some of the worlds most effective charities and are a certified B Corporation .Apply for this job*indicates a required fieldFirst Name *Last Name *Email *Phone *Location (City) *Resume/CV *Enter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfWhat are your working rights in Australia? (If a Visa holder, please share type, dates and any other relevant details) *What are your salary expectations for this role? *As the popularity of LLMs such as ChatGPT increases, we are seeing more applications that are clearly generated by these tools. We look at your application as a whole to gain a sense of who you are, how you think and how you might approach the role you are applying for. You are welcome to use any tools you would usually use in your daily work (including LLMs). If, however, you want your application to stand out, you will need to add something beyond what these LLMs will guide you towrite. We want to respect your time so please spend no longer than 20 minutes on the questions below.Tell us about a time you built a report, dashboard, or analysis that didnt land the way you expected. What did you learn from that, and what did you do next? *You''ve just discovered that our top-performing channel (by data-driven attribution) might not be as effective as it seems according to our MMM. Walk us through how you''d investigate this and what you''d need to consider before recommending any changes. * #J-18808-Ljbffr