About the job Commercial Analyst
Role snapshot
Full-time, Philippines-based, work-from-home. Reports to the Founder (Sydney). Significant overlap with Sydney business hours (AEST/AEDT) required.
About Cean
Cean is a fast-growing Australian wellness apparel brand designing lymphatic-targeted activewear and everyday wear. Our range spans bralettes, leggings, jumpsuits, socks and more, sold direct-to-consumer through Shopify and shipped globally via 3PL partners. We are a small, founder-led team headquartered in Sydney with operational support in the Philippines.
As we scale, we need a sharp analytical mind to help us understand the business at a deeper level — where we are making money, where we are leaking it, and where the next growth lever is.
About the role
The Commercial Analyst will be the person who tells us what is actually happening inside the business. You will live in our data and systems, build the models and dashboards that drive decision-making, and partner directly with the Founder on commercial strategy.
This is a high-trust, high-impact role. You will not be doing bookkeeping, accounts payable, or transactional finance work — that sits with our accountant. You will be doing the analytical work that turns numbers into decisions: contribution margin analysis, marketing performance, customer cohorts, inventory planning, scenario modelling, and a wide range of operational and financial reporting.
How we work: AI-first
Cean is being built as an AI-native company. We are actively embedding Claude (Anthropic's AI) into every part of our business operations — from analytics and reporting through to customer service, supplier communications and decision support.
This role sits at the centre of that effort. We expect you to use Claude every day to accelerate your work: querying data, drafting reports, building models, automating recurring analysis, and surfacing insights faster than a traditional analyst could.
More importantly, you will design our reports and dashboards so that Claude is embedded directly into the data outputs themselves. The goal is that when the founders open a weekly report, monthly review or scenario model, they can ask Claude follow-up questions in natural language — “why did CAC spike this week?”, “which SKUs are dragging margin down?”, “what would happen if we lifted the free-shipping threshold?” — and get instant, contextual answers grounded in our actual data.
If you are excited by the idea of working alongside AI as a true collaborator (not just a chatbot on the side), and helping shape how a modern brand is run, this role is for you.
Key responsibilities
Margin and profitability
Build and maintain contribution margin analysis (CM1, CM2, CM3) at SKU, product and channel level.
Track landed cost, freight, duties, payment processing, fulfilment, shipping, returns and refunds.
Identify margin leaks — high-return SKUs, underperforming variants, freight inefficiencies, discount over-use — and propose fixes.
Marketing analytics
Weekly tracking of spend, ROAS and CAC by channel (Meta, Google, Klaviyo, organic, affiliate).
Blended CAC vs paid CAC. New vs returning customer mix.
Klaviyo flow performance, list growth, segment health, campaign performance.
Meta account health: creative fatigue, CPM/CTR/CVR trends. Flag breaking economics early.
Customer and cohort analytics
LTV by acquisition channel, first product purchased and acquisition month.
Repeat purchase rate, time-to-second-purchase, AOV by channel.
Cohort retention curves to surface whether newer cohorts are improving or declining.
AOV and conversion optimisation
Bundle performance, cross-sell and upsell impact.
Free-shipping threshold and discount elasticity analysis.
Quantify what each merchandising lever is worth to inform brand and product decisions.
Inventory planning
SKU-level demand forecasting across approximately 550 SKUs (26 products, 11 colours, 5 sizes).
Reorder points and safety stock by SKU.
Sell-through rates by colour and size to inform product and buying decisions.
Working capital tied up in inventory, with recommendations on how to reduce it without risking stockouts.
Financial reporting and cash
Weekly flash report covering revenue, contribution margin, spend and key ratios.
Monthly P&L review with variance commentary.
Cash flow forecasting tied to PO schedule and seasonality.
Budget vs actual tracking.
Scenario modelling and decision support
Build models to evaluate launches, promotions, pricing changes, channel investments and operational decisions.
Become the trusted thought partner the Founder consults before any meaningful financial decision.
AI-enabled dashboards and data infrastructure
Set up and maintain a reporting stack covering Shopify, Klaviyo, Meta and GA4.
Build self-serve dashboards (Looker Studio, Power BI or equivalent) so the leadership team can answer their own top-line questions.
Design reports and outputs with Claude embedded — so the founders can ask natural-language follow-up questions and explore the data conversationally.
Continuously identify opportunities to use Claude to automate recurring analysis, surface anomalies, and accelerate decision-making.
Required experience and skills
4 to 6 years of experience in a commercial analyst, business analyst, FP&A, or e-commerce analytics role.
Direct experience with a DTC, e-commerce or retail business — ideally fashion, apparel, beauty or wellness.
Advanced Excel and Google Sheets — comfortable building financial models from scratch.
Strong working knowledge of unit economics: CM1/CM2/CM3, CAC, LTV, payback period, blended vs channel ROAS.
Hands-on experience pulling and analysing data from Shopify, Meta Ads Manager, Google Ads and Klaviyo.
Experience building dashboards in Looker Studio, Power BI, Tableau or similar.
Genuine enthusiasm for AI tools — particularly Claude — and a track record of using them to do better work, not just faster work.
Excellent written English — you will be writing reports, commentary and recommendations that the founders read each week.
Highly organised, self-directed and comfortable working independently across time zones.