Head of Product Analytics
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
As a Head of Product Analytics, you will be responsible for leading the product analytics team. Perform extensive analysis and forecasting that affect product performance and enable opportunities for growth.You will provide deep technical and domain expertise across multiple domains including behavioral finance and trading financial markets. Become the center of data & analysis knowledge in the product department.
Responsibilities
- Lead and mentor the Product Analysts team, with the aim to deliver actionable and valuable conclusions and insights.
- Take ownership over planning, prioritising and building the right data solutions that support business needs and drive towards commercially significant outcomes.
- Influence change by presenting product and customer data-driven insights to product management and senior leadership.
- Effectively communicate with cross-functional partners and internal teams to deliver relevant and on-time solutions.
- Revise and establish advanced operations processes for the product analytics team.
- Build new analytics and reporting capabilities to support product evaluation and operations.
- Establish A/B testing processes across product teams.
- Responsible for recruiting, training, and managing the team supporting the personal/professional growth of the team members, and pushing to foster a motivated, creative and exploratory environment.
Requirements
- Master’s Degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or a similar field of study required.
- Experience in leading projects and mentoring teams of data scientists and analysts.
- Strong desire to collaborate and ability to come up with creative solutions.
- SQL/Database experience is required.
- Advanced working knowledge and experience with Python.
- A successful history of manipulating, processing, and extracting value from large disconnected datasets.
- Experience in fintech, finance, or trading.
- Experience in machine learning, deep learning, search, data science, or computer vision is a big plus
- Business level proficiency in English or above (equivalent to B2 or above in CEFR)
What you will get in return:
- Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
- Work-Life Harmony: Join a company that genuinely cares about you—because your life outside of work matters just as much as your time on the clock.
- Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
- Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
- Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
- Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
- Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
- Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
- Department
- Technology & Product
- Locations
- Limassol, Cyprus
- Working options
- Hybrid, In-office
Head of Product Analytics
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