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Tickmill is looking to hire a Data Analyst to mainly collaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.

Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, andBonds, as well as Exchange Traded DerivativeslikeFutures & Options).

Founded in 2014, theTickmillGroup employs over330 professionals across offices in London, Cyprus,Poland,Estonia,Seychellesand several other locations worldwide.

Our culture is built on trust, transparency, andhigh standards.Webring togetherambitiousprofessionals whoare looking for an environment that supports them todominate in their fields.

Ourdiverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.

We offer competitive benefits packages, frequentteam initiatives, and opportunities for professional growth.

The Data Analyst will have the chance to:

• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.

• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.

• AUnique Opportunityfor a career in a global, fast-growing company.
• Attractive remunerationpackage based on qualifications and experience.
• Opportunities tolearn and grow through our “Employee Training & Development program”.
• Hybrid Work Flexibility.
• Multiple events tobond with the team and the group.
• Birthdayand Loyalty benefits.

1. First interview with hiring managers or an HR call
2. Psychometric test
3. Final interview with top management

*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.