Senior Analytics Engineer

We are committed to promoting a diverse and inclusive workplace - a place where we can each be ourselves and do the best work of our lives. At Tracksuit we consider a unique perspective, diverse experience and a growth mindset to be of greater value than ticking every box on a JD. If you think you have what it takes...

At Tracksuit we provide beautiful, radically affordable, always-on brand tracking which is easy to use compared to traditional methods. We recognise that sounds like a ton of buzzwords for marketers, so what it really means is that we did over tens of thousands of surveys last month to find out what real humans thin...

Are you our new Senior Analytics Engineer?

You make senior people smarter, quickly: comfortable in front of execs and non-technical stakeholders, you'll push back kindly when the ask isn't the real need, and you land the "so what" without the jargon
You measure yourself on impact, not output: you can name the decisions your work changed
Low ego: you share the messy draft early, give credit generously, and care more about the right answer than being the one who had it
You love simplicity: your instinct is to delete rather than add, and you'll take the boring, well-tested model over the clever one
You thrive in the mess of a scale up: ambiguity and shifting priorities don't rattle you, and you pick up the unglamorous work without being asked
7+ years in data, with advanced SQL and dbt on Snowflake, strong modelling judgement, and the ability to own ELT pipelines and infrastructure end to end
AI tools in your daily workflow (Claude Code, Cursor, Copilot), with the judgement to verify what they produce

Experience modelling Finance or GTM data (revenue, retention, pipeline)
Prior experience in a B2B SaaS start up or scale up
Experience building or contributing to a semantic layer or metrics layer
Bachelor's degree (or higher) in Computer Science, Data Science, Information Technology, or a closely related analytical field — or equivalent practical experience