Data Analyst - Cyprus

Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now!

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.

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.

What do you need to succeed in this role?
• 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.

Will be considered as a plus:
• 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.

By joining us, you can expect:

• • Unique Opportunity for a career in a global, fast-growing company.

• • Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary  Bonuses to reward exceptional performance).

• • Opportunities to learn and grow through our “Employee Training & Development program”.

• • Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.

• • Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.

• • Participation in our welfare investment and savings plan through our Provident Fund Scheme.

• • Birthday and Loyalty benefits.

• • Collaboration with SportBenefit.
  

What to expect from our recruitment process:

1. First interview HR call

2. Task Assessment

3. Technical interview

4. Final interview with top management