We're looking for Data Analytics Lead to enable faster, better-informed decision-making across FTMO by turning data into a reliable foundation for action.
In this role, you will own both sides of the equation: the questions the business needs answered, and the data foundation that answers them. Teams across Product, Marketing, Finance and Trading will get trustworthy insights and self-service access to the numbers behind their strategy, and the data foundation underneath will stay well-modelled, documented and low-maintenance, so the whole company can rely on it. You will also shape how we use AI and agentic tooling to multiply what the data team delivers.
What will you do?Partner with the business - act as the analytics partner to Product, Marketing, Finance and Trading, understanding their needs, scoping requests, agreeing deliverables and presenting findings to leadership.
Answer the hard questions - turn open-ended business questions into analysis and clear, actionable recommendations.
Lead the team's delivery - plan and prioritise the work, review and approve incoming tasks, support and onboard colleagues, and keep goals and status current.
Own the self-service layer - build and refine the semantic and reporting layers, and safeguard metric definitions and the business glossary so numbers stay consistent and trusted company-wide.
Drive AI adoption - champion AI and agentic tooling (Claude workflows, agentic visualisation, reusable skills) to speed up prototyping and everyday analysis, inside and outside the data team.
Keep the platform strong - ensure the stability and continuous development of our data foundation.
This is a hands-on leadership role -most of your time will go to leading the team, but some will stay in the stack, delivering analysis yourself — because AI is reshaping our work, and you will steer that from within, not from the sidelines.
A degree in a quantitative field (statistics, mathematics, economics, computer science, data science or similar), or equivalent hands-on experience.
Several years in data analytics and a track record of owning analyses end to end.
Experience partnering with senior stakeholders across functions such as Product, Marketing, Finance and so on.
Experience leading, mentoring or coordinating analysts, and a genuine interest in how AI is changing the way data teams work.
Strong SQL and hands-on work in a cloud data warehouse (we run on GCP / BigQuery); Python is a plus.
Data modelling and transformation (e.g. dbt or Dataform) — building tested, documented, low-maintenance datamarts and working in a structured, version-controlled workflow.
Strong BI and visualisation skills. A working grasp of data governance, quality and lineage.
Solid applied statistics - cohort, retention, elasticity and significance testing — and the judgement to match method to question.
Curiosity about AI and agentic tooling, and the drive to put it to work. Agentic workflow experience is a strong plus.
Strong business sense - you connect data to revenue, margin, pricing, acquisition and retention.
Clear communication — you turn technical findings into recommendations leaders can act on.
Rigour and a healthy scepticism about data quality
Ownership and the ability to prioritise across a broad, cross-functional request queue.
Leadership and collaboration — you enjoy supporting people's growth and helping the team do its best work
Fluency in English.
We are a Czech fintech that, since 2015, has grown from an idea into a global project. 🚀
300+ amazing teammates. We’re a great team who learn from each other every day.🤜🤛
How do we work? We focus on meaningful work and open communication, while only adopting processes that make our lives easier.
Prague, Národní třída. Enjoy our modern offices at the Quadrio shopping center, offering beautiful views and excellent accessibility.
What if I don’t trade? No worries. We’ll show you what our product is all about and introduce you to the basics of trading.
Free fruit, snacks, and coffee are always within reach in the office.
How do we promote strong relationships and well-being? Company cottage, team building events, and running club.
Flexible hybrid model. We prefer collaborating in person to keep the team spirit high, but we offer the flexibility you need to stay balanced.
*The benefits mentioned above apply to FTMO on-site employees in our Prague office.
Skills Required
- Degree in a quantitative field (statistics, mathematics, economics, computer science, data science) or equivalent hands-on experience.
- Several years in data analytics with a track record of owning end-to-end analyses.
- Experience partnering with senior stakeholders across Product, Marketing, Finance, Trading.
- Experience leading, mentoring or coordinating analysts.
- Strong SQL skills.
- Hands-on experience in a cloud data warehouse (GCP / BigQuery).
- Python (hands-on)
- Data modelling and transformation experience (e.g., dbt or Dataform).
- Strong BI and visualization skills.
- Working grasp of data governance, quality and lineage.
- Applied statistics knowledge (cohort, retention, elasticity, significance testing).
- Curiosity about AI and agentic tooling; drive to apply them.
- Agentic workflow experience.
- Strong business sense (connect data to revenue, margin, pricing, acquisition, retention).
- Clear communication and ability to present findings to leadership.
- Rigour and skepticism about data quality.
- Ownership and ability to prioritise across cross-functional requests.
- Leadership and collaboration to support team growth.
- Fluency in English.
What We Do
FTMO is a Czech-based leader in modern proprietary trading that identifies and empowers talented traders. Through a unique evaluation process, the company provides access to simulated trading environments and educational tools, including an academy and performance coaching. By focusing on skill verification, FTMO allows traders to refine their abilities and potentially earn performance-based rewards without requiring their own initial capital.
