Data Analyst (Remote)

Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. Libertex is the Official Online Trading Partner of Audi Revolut F1 Team.

• Strong statistical analysis skills and experience with A/B testing methodologies.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, or a related field.
• Proven experience as a Data Analyst.
• Experience with data analysis and visualization tools, and proficiency in programming languages such as Python.
• Proficiency in using SQL.
• Familiarity with BI tools, preferably with Power BI.
• Upper-intermediate English level.
• Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.
• Strong problem-solving skills and attention to detail.

• Validate and analyze A/B tests to assess feature performance, user engagement, and design effectiveness, delivering clear, actionable recommendations.
• Conduct in-depth analysis using Python to uncover trends, patterns, and insights that drive product innovation and strategic decisions.
• Work closely with product managers and domain experts to understand business goals and translate them into analytical outcomes.
• Build and present reports and dashboards that clearly communicate insights to stakeholders and support data-driven decision-making.
• Identify opportunities to optimize products and enhance data collection and analysis processes.

Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.