Data Engineer jobs in United Kingdom

Data and Analytics - London, Greater London

Are you looking for a challenging opportunity that will advance your career? Join our team now!

Tickmill is seeking a Senior Data Analyst to join our expanding team. The ideal candidate will be highly business-oriented and technically proficient, eager to make a tangible impact within a leading FX firm. You will excel in transforming complex data into actionable insights that influence strategic decisions.

Tickmill is an award-winning, multi-regulated broker offering CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, Bonds, and Exchange Traded Derivatives (Futures & Options).

Established in 2014, the Tickmill Group employs over 270 professionals across London, Cyprus, Estonia, South Africa, and other regions. Our culture is based on trust, transparency, and diversity, supported by competitive benefits, team events, and professional growth opportunities.

• Collaborate with stakeholders and Product Owners to understand data needs and provide insights.
• Analyze large, complex data sets to identify trends and insights.
• Develop and maintain data models, dashboards, reports, and visualizations.
• Implement data-driven solutions to support strategic initiatives.
• Lead analytics projects on product profitability, client lifecycle, and acquisition funnel optimization.
• Identify key conversion points and areas for optimization within the client acquisition process.
• Explore external data sources for additional insights.
• Mentor analysts and promote data governance best practices.
• Stay updated with industry trends and emerging analytics technologies.

• Bachelor's degree in Mathematics, Statistics, Computer Science, or related field.
• At least 3 years of experience as a Senior Data Analyst, preferably in Finance/FX.
• Strong analytical skills and attention to detail.
• Excellent communication skills for presenting complex data to non-technical audiences.
• Experience with data visualization tools (Power BI preferred) and SQL, DAX.
• Ability to develop predictive models and understand data modeling principles.
• Knowledge of data lineage and metadata management.
• English proficiency, both written and spoken.

• Experience with statistical analysis, machine learning, and programming languages like Python or R.
• Knowledge of data protection regulations, data standards, and Agile methodologies.

• Global career opportunity in a fast-growing company.
• Competitive remuneration, bonuses, and benefits.
• Modern work environment and wellness programs.
• Pension scheme, health insurance, life assurance, and other perks.
• Team events and professional development programs.
• Birthday half-day off and loyalty benefits.

• Initial interview with hiring managers or HR.
• Psychometric assessment.
• Final interview with top management.

Apply now and take your career to the next level!

*Please note that due to high application volume, we may not respond individually to each application.