Define the metrics. Build the foundation. Make product decisions at Simployer impossible to make without data.
At some point last quarter, someone at Simployer asked how many users actually engage with a feature after the first week. They got an answer. A few weeks later, someone else asked the same question and got a different one. Both were correct. Neither were useful. That's the problem this role fixes.
We are an HR-tech company that helps organisations manage their people better. We're building a proper data foundation right now. Clean events. A modelled layer. Analytics that product teams can actually use. Our lead data engineer joined earlier this year. Now we need the person who makes that foundation useful.
We're looking for someone who gets energised by questions like:
What if every product team agreed on what "active user" actually means?
How do you build a weekly data read that people actually show up to and use?
What would it look like if product decisions at Simployer were grounded in numbers everyone trusted?
As our Senior Product Analyst, you'll own metric definitions, drive product usage analysis, and build the dashboards product teams reach for first. You'll also help shape the modelled data layer alongside our lead data engineer, so it works for people and AI agents alike.
Your mission
You'll partner with product managers and engineers across every product domain not as someone who runs exports on request, but as the person who asks "what are you trying to decide?" before writing a single query. You'll shape those questions into defined metrics, document them so teams speak the same language, and build dashboards that make a weekly product review worth having.
You'll thrive here if..
You have several years of product analytics experience in B2B SaaS and you've actually defined metrics, not just inherited them
You're strong in SQL against a warehouse and you understand what the data can and can't tell you
You've worked hands-on with a product anal