About Tickmill
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, and Bonds, as well as Exchange Traded Derivatives like Futures & Options. Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.
Responsibilities
•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.
Requirements
•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.
Nice to have
•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.
Conditions
•A unique opportunity for a career in a global, fast-growing company.
•Attractive remuneration package based on qualifications and experience.
•Opportunities to learn and grow through the "Employee Training & Development" program.
•Hybrid work flexibility.
•Multiple events to bond with the team and the group.
•Birthday and loyalty benefits.
