Senior Data Analyst - Poland

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 Senior Data Analyst to join our rapidly expanding team. Ideal candidate will be a highly business-oriented and technically proficient Senior Data Analyst eager to make a tangible impact within a leading and growing FX firm. Candidate will excel in transforming complex data into actionable insights that directly influence strategic decisions.

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. Join the Tigers!

What the job looks like?

The Senior Data Analyst will have the chance to:

• Collaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
• Conduct in-depth analysis of large, complex data sets to identify trends, patterns, and insights in collaboration with the rest of BI team members.
• Develop and maintain data models, dashboards, reports, and visualizations to communicate findings to stakeholders.
• Identify and implement data-driven solutions to enable strategic initiatives, and optimize business operations.
• Lead data analytics projects focused on product profitability, client lifecycle insights, including client lifetime value (CLV) calculation, acquisition funnel optimization, and client journey mapping.
• Identify key conversion points and drop-off areas within the client acquisition funnel to drive optimization strategies.
• Explore possibilities for valuable external data sources that could be used in combination with existing data sets to provide insightful information.
• Mentor and develop analysts/ internal data champions in the company about analytical approaches and data governance .
• Stay up-to-date with industry trends and emerging technologies in data analytics.

What will you need to be able to do the job?

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related field.
• Minimum 3 years of experience as a Senior Data Analyst or a similar role, highly preferably in the Finance/FX sector.

• Strong analytical and logical thinking with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent communication skills with the ability to present complex information in a clear and concise manner to non-technical audiences.
• Project management capabilities, including requirements gathering and solution implementation.
• Strong experience with data visualization tools (Power BI highly preferred) and ability to choose the most appropriate visuals based on the purpose of the analysis.
• Advanced SQL skills along with a solid understanding of data modeling design principles (Star Schema, Semantic models) and DAX language.
• Ability to develop predictive models for business forecasting and client behavior & lifecycle analysis.

• Knowledge of data lineage documentation and metadata management best practices.

• Curiosity to investigate causes and effects with a Team Play attitude.
• Excellent command of English, both written and spoken.

The below Advanced Analytics Skills are considered as a plus:

• Experience with statistical analysis and hypothesis testing.
• Knowledge of machine learning concepts and applications for client segmentation, anomaly detection, and predictive forecasting.
• Proficiency in at least one programming language (Python, R) for data manipulation and analysis.
• Experience in conducting competitive research and analyzing benchmarking data.
• Knowledge of data protection regulations relevant to financial services.
• Experience in establishing data standards and governance policies.
• Familiarity with Agile development methodology and DataOps principles and best practices.

 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”.
  

• Health Insurance.
• Hybrid Work Flexibility.

• Multiple events to bond with the team and the group.
  

• Birthday and Loyalty benefits.

What to expect from our recruitment process:

1. First interview with hiring managers or an HR call
2. Psychometric test
3. Final interview with top management

Make your next Career step and apply NOW!

*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.