Senior Product Data Analyst (CRM)

Why this role matters

The Data & Analytics team plays a pivotal role in the success of our CRM Marketing function and whole Marketing division by providing high-quality experimentation and timely analytical insights as well as data-backed recommendations, maintaining data operations and ensuring data quality.

The role is based in our office in Limassol, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.

You will

• Design and execute A/B tests, set hypotheses, measure experiment results, apply statistical methodologies and provide actionable recommendations to optimise CRM campaigns.
• Perform data analysis from clients and partners to understand user behavior, identify trends, and uncover opportunities for growth and retention.
• Work closely with CRM Marketing and other Marketing teams to gather requirements, align on objectives, and define the scope of data tasks.
• Understand the CRM Marketing landscape to identify areas of improvement in automated journeys and channels for greater efficiency and impact.
• Develop, maintain, and monitor data-driven processes, ensuring data accuracy, consistency, and quality across CRM systems.
• Provide actionable, data-driven insights, research, and quantitative analyses on both regular and ad hoc basis to support decision-making.
• Support the integration of new data sources into the marketing automation system, ensuring seamless deployment of use cases.
• Apply advanced analytics and predictive modeling techniques to forecast customer behavior and identify monetization opportunities.

Who we are looking for

• Bachelor’s degree or equivalent in Mathematics, Statistics, Physics or a related field.
• Data Analytics 4+ years (With strong focus on A/B testing).
• Strong experience in Python.
• Strong experience in SQL (complex queries, analytic functions).
• Excellent understanding of mathematical statistics.
• Ability to translate business problems into quantitative analyses and produce insights.
• Proven ability to efficiently formalize and visualize the results of the data analysis.
• English language is a must; any other language will be considered as an advantage.
• Ability to communicate complex statistical & mathematical concepts to a non-technical audience.
• Ability to organize and prioritize tasks efficiently and to handle multiple, simultaneous deadlines.
• Ability to adapt to requirement changes when needed and produce fast solutions.
• Excellent verbal and written communication, Upper-Intermediate English.
• Proactive, detail-oriented, and capable of handling multiple projects simultaneously in a fast-paced environment.

What we offer along the way

• Competitive salary and annual performance bonus.
• Full relocation support for you and your family — flights, housing, visas, and legal assistance included.
• Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind.
• Unlimited learning opportunities: external courses, English lessons, career and leadership development.
• Education allowance covering school and kindergarten fees.
• 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave.
• Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones.
• "Get to know Team" trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar.
• Employee share scheme — grow with us.
• Branded MINI Cooper Countryman company car and private parking.
• Free in-house sports clubs, Sanctum Club gym access, and jet skis.
• Access to a Corporate doctor.
• Exclusive discount program with cafes, gyms, and local services.
• Expat tax perks: up to 50% income tax exemption.
• Support with the naturalisation process for relocated employees.

What your journey looks like

• Intro call with Recruiter (30 minutes).
• English check (for all non-native English speakers).
• Tech interview (90 minutes).
• Behavioural interview (60 minutes).
• Team fit interview (60 minutes).