Design, build, and maintain the data models, dashboards, and reporting frameworks that give the commercial organisation clear, trusted visibility across the full commercial funnel.
Use AI tools as a core part of your analytical workflow — accelerating insight generation, improving output quality, and freeing up capacity for higher-order problem solving.
Run deep-dive analytical projects to surface patterns, anomalies, and opportunities in commercial data, translating findings into clear and actionable recommendations for commercial stakeholders.
Define and track KPIs that measure both business outcomes and the effectiveness of the processes driving them, creating a continuous improvement feedback loop.
Own preparation and follow-through for key internal meetings, strategic reviews, and cross-functional forums — ensuring the right data is in the room and decisions translate into clear next steps.
Build the analytical frameworks that underpin quarterly planning, forecasting, and target-setting, producing outputs commercial leaders can use directly.
Map, challenge, and rebuild core commercial workflows — including pipeline management, forecasting cadences, and sales incentive structures — into cleaner, faster, and more scalable ways of working.
Implement operational improvements end-to-end: not just designing the solution, but driving adoption and measuring impact with rigor.
Identify where AI can fundamentally change how commercial processes work, then build and deploy those solutions directly.
Develop a hands-on understanding of our commercial tech stack, diagnosing where friction, data loss, or missed opportunities exist.
Translate commercial problems into well-defined briefs that Product and Engineering teams can act on, bringing enough technical fluency to be a genuine peer in those conversations.
Requirements
2+ years of experience in data analytics, sales operations, strategy & operations, or a similar analytical or commercial role.
Proficiency in SQL and hands-on experience with BI and data tools such as Looker, Tableau, or BigQuery.
A track record of building things — data models, dashboards, process frameworks, and operational tools — not just recommending them.
Strong commercial instincts paired with rigorous analytical capability, comfortable moving between a strategic conversation and a hands-on build.
Genuine excitement about AI and an existing habit of using it to accelerate and improve their own work, with an eagerness to bring that into how a commercial organisation operates.
Experience working cross-functionally with Product and/or Engineering teams, with enough technical fluency to hold their own in those conversations.
First-principles thinking — questioning assumptions, stress-testing processes, and always asking why something works the way it does.
A bias for action, a strong sense of ownership, and the ability to thrive in fast-moving, ambiguous environments.
Tech Stack
BigQuery
SQL
Tableau
Benefits
Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.
Unlimited PTO.
Carrot Cash travel stipend.
Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
Please ask us about our very generous parental leave, much above industry standards!.
Entrepreneurial culture where pushing limits and taking risks is everyday business.
Open communication with management and company leadership.
Small, dynamic teams = massive impact.
100% employer paid Medical, Dental and Vision coverage for employees.