Data Analyst - Estonia

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Tallinn, Harju Maakond, EST
Remote
Mid level
Fintech • Payments • Software • Financial Services
The Role
Collaborate with stakeholders to define requirements, analyze large datasets, produce dashboards and reports (Power BI), perform cohort/funnel/retention analyses, ensure data quality, and support data-driven product and operational improvements.
Summary Generated by Built In

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.

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 does the role look like?

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:

    • 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”. 

    • Stebby Sports Compensation or Confido Health Compensation. 

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

    • Birthday and Loyalty benefits. 


    What to expect from our recruitment process:

    1. Interview with HR
    2. Assessment task
    3. Interview with hiring managers
    4. 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.

    Skills Required

    • Bachelor's degree in Mathematics, Statistics, Computer Science, Information Systems, or related quantitative field
    • Minimum 2-4 years of experience as a Data Analyst or similar analytical role (preferably Finance/FX)
    • Strong analytical and problem-solving skills; collect, organize, analyze, and interpret data accurately
    • Excellent communication skills; present findings to technical and non-technical stakeholders
    • Experience gathering business requirements and translating into reporting and analytical solutions
    • Experience with 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
    • Working knowledge of DAX and Power BI data modelling principles
    • Ability to 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
    • Experience with statistical analysis and A/B testing concepts
    • Basic knowledge of machine learning concepts and 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
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    The Company
    HQ: London
    481 Employees
    Year Founded: 2014

    What We Do

    Tickmill is a multi-regulated multi-asset broker on a mission to provide the best trading conditions in the market. As a broker founded by traders for traders, we’re focused on empowering customers to succeed, by offering great trading conditions, excellent service, quality education and AI-powered trading tools. The Tickmill group product offering includes: - Forex & CFDs (Commodities, Cryptocurrencies, Indices, Stocks, Bonds); - Futures & Options, with direct access to 5 global regulated exchanges, including the CME group. The group operates through different local offices and companies, and it’s regulated by the FCA, the DFSA (as representative office), CySEC, FSA, FSCA, and FSA Labuan.

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