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Data Analyst

Exness via Exness
Salary
Not Disclosed
Location
Limassol, Cyprus
Type
Full Time
Deadline
Rolling
Job Description
  • 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.
  • 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.
Requirements
  • 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
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Posted30 Sep 2026
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