Commercial Insights Lead

This is not a traditional analyst role. Boody has built a genuinely global DTC business on strong instincts and lean teams. What we haven’t had — and need now — is someone who can connect the dots across customers, products, channels and regions, and turn that into faster, sharper decisions. That’s this role.

We’re looking for someone energised by people — who gets a genuine kick out of helping a channel manager finally understand what’s really driving their numbers, or helping a product team see a pattern in returns data that changes how they brief the next range.

The job is to be Boody’s commercial intelligence layer. You’ll take data from across the business — customers, products, channels, margins, marketing — and turn it into clear answers to the questions that actually matter: what’s driving this, why did that happen, and what do we do next?

You’ll earn trust. You’ll know how to read your audience. You’ll bring teams into the work — not just hand them a dashboard and walk away. In partnership with our CCO, you’ll also be the analytical backbone for how Boody’s CRM and retention function is planned, prioritised and evaluated.

We’re serious about AI — not as a talking point, but as a genuine competitive advantage. If you’ve been waiting for an environment that will actually let you go deep on this, this is it.

What You’ll Own:

1. Decision support and commercial modelling

When the business faces a meaningful commercial decision — pricing, shipping thresholds, new channels, promotional mechanics — you’ll be in the room. You’ll know the numbers behind the question before anyone else does. That means understanding our products and margin as deeply as our commercial levers. You’ll model the options, frame the tradeoffs, and give people the confidence to act.

2. Reporting and insight layer

Andy and the data team own the infrastructure. Your job is what sits on top — the dashboards, reports, and outputs that turn clean data into commercial decisions. You’ll build a self-serve culture that means teams aren’t waiting on you for basic questions, and you’ll be the person who spots when a number tells a story worth acting on.

3. Customer and retention intelligence

Cohort analysis, LTV, CAC, repurchase behaviour, second-purchase drivers, loyalty performance, product affinity. The goal isn’t better metrics — it’s a sharper understanding of what keeps the right customer coming back, where the customer journey breaks, and driving the agenda for fixing it.

4. Weekly trade insight

The weekly trade pack is being built as part of our data transformation project. Your job is to make it mean something. In partnership with the CCO, you’ll surface the why behind the weekly numbers, identify the opportunities hiding in the data, and help shape the commercial narrative that guides what the business does next.

5. AI-led ways of working

Hands-on proficiency with tools like Claude is expected — not aspirational. You’ll build analytical workflows, automate recurring outputs, and bring new thinking to the team around you. If you’ve been waiting for an environment that will actually let you go deep on this, this is it.

We’re looking for:

The work

• 5–8 years in a commercial analyst, strategy, business intelligence, or insights role — ideally in e-commerce, retail, FMCG, or a high-growth consumer brand.
• Strong Excel and financial modelling fundamentals. Comfortable building from scratch.
• Hands-on experience with BI tools (we use Sigma; Looker, Power BI, or Tableau translates well).
• SQL capability, or a genuine commitment to building it fast.
• Deep familiarity with commercial metrics: revenue, margin, AOV, CAC, LTV, ROAS, retention, inventory productivity, SKU profitability.
• Active, current use of AI tools — specifically Claude — as part of your day-to-day analytical work. We’ll ask you about this and we mean it.

The person

• You love working with people. Not just presenting to them — working with them. You go looking for the person whose problem you can solve.
• You communicate up, down, and sideways with equal ease — from CFO to channel manager.
• You’re commercially curious in a way that’s hard to teach. You see a number and want to know what’s behind it — and what it means for what we do next.
• You interrogate your own outputs before anyone else does. You know that confident-looking data is often where the biggest errors hide.
• You’re comfortable with imperfect data and ambiguous briefs. You don’t wait for a perfect question before finding answers.
• You have a genuine point of view on how AI is changing what great commercial analysis looks like — and you’re actively building your capability in this space.
• You’re energised by building something, not maintaining something.