Data Analyst

Tickmill; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Job summary

Tickmill, a multi-regulated broker, is seeking a Data Analyst to collaborate with stakeholders and Product Owners to translate data needs into actionable insights.

You will analyze large datasets, build dashboards in Power BI, and support data-driven decisions across finance and client analytics, joining a global team.

Minimum 2–4 years in data analysis, strong SQL, DAX, and English are essential, with opportunities for growth and professional development.

Qualifications

• 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.

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.

Skills

Strong analytical skills

Excellent communication

English proficiency

Education

Bachelor's degree in Mathematics/Statistics/CS/IS

Tools

Power BI

SQL

Python

R

Job description

Are you looking for the next professional opportunity, that will challenge you and advance your career?

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.

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. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.

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

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

What does the role look like?

• 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:

• 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 our "Employee Training & Development program".
• Multiple events to bond with the team and the group.
• Birthday and Loyalty benefits.

What to expect from our recruitment process:

• First interview with hiring managers or an HR call
• Psychometric test
• 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.