Lead product Analyst

What you are going to do:

• Lead the analytics team responsible for Learning Experience (platform, courses, student engagement, learning metrics)

• Define priorities for analytical tasks, allocate resources, and ensure quality of deliverables

• Design and improve metrics to measure learning effectiveness: engagement, course progress, and completion

• Support and develop dashboards and reports for key stakeholders

• Work closely with product managers, developers, and operations to drive decisions

• Help shape strategic product decisions using data and research

• Grow and mentor the analytics team, build scalable processes

What we expect from you

• Stack: SQL, Python (pandas, matplotlib/seaborn), Tableau / PowerBI / Looker

• Strong expertise in SQL, and confident Python skills

• 3+ years of experience in analytics, including 1+ year in a senior or lead role

• Experience with BI tools and building decision-making dashboards

• Solid understanding of product metrics: retention, LTV, conversion

• Ability to formulate hypotheses and make data-driven recommendations

• Experience managing or mentoring a team of analysts

Not a Requirement, But an Advantage

• Experience in EdTech

Stages of interview

• HR interview

• Technical interview (live-coding)

• Hard skills interview with Head of Analytics

• Culture fit interview with CEO

• Gathering recommendations

• Offer

Why us

• 🌍 Remote-first, global team — work from anywhere (GMT+1 to +4 preferred). We're not tied to the office, but we do have a cozy space in Belgrade and support relocation if that's your thing

• ⏰ Flexible Work Schedule: Enjoy the freedom to work during hours that best suit your productivity and lifestyle.

• 🔄 Quarterly performance reviews (optional) — with a required annual cycle, so you get regular feedback and clarity on your growth path

• 📈 Marketing-driven company — you'll be part of a business where marketing is the growth engine: multi-channel strategies, large budgets, and the freedom to test new ideas at every stage of the user journey

• 📊 Growing analytics culture — this is a place where you can shape the way we do analytics, introduce best practices, and learn from others while making a meaningful contribution

• ⚡️ Startup pace with structure — we move fast, but we've already built the processes to support growth without the chaos