Why this role matters
As a Data Analyst within the fintech product department, you will deliver actionable insights, analytical solutions, and data-driven intelligence that empower strategic decision-making across core business operations and financial services. You will serve as the analytical backbone of the team, transforming complex datasets into meaningful visualizations, developing robust reporting frameworks, and ensuring that insights are delivered with accuracy, timeliness. Your work will directly support Product improvements, risk assessment, A/B testing initiatives, and operational performance optimization, while maintaining data integrity and compliance standards critical to fintech operations.
What you'll actually do
- The Data Analyst is accountable for extracting, analyzing, and interpreting complex datasets to deliver actionable insights that drive business strategy and operational improvements. This includes building reports, performing trend analysis, and translating data into clear recommendations for leadership and stakeholders.
- The Data Analyst drives experimentation frameworks by designing, executing, and analyzing A/B tests to optimize user experience, conversion rates, and product features. This includes defining success metrics, statistical validation, and presenting findings to product and marketing teams.
- The Data Analyst serves as a bridge between technical data infrastructure and business units, translating complex analytical findings into compelling narratives and visualizations that enable data-driven decision-making across departments.
- The Data Analyst is accountable for tracking and analyzing operational performance across partnership programs, and customer journeys. This includes identifying inefficiencies, measuring campaign effectiveness, and providing insights that improve business outcomes and customer satisfaction.
- The Data Analyst owns the validation of his objects, ensuring that all analytical outputs are accurate, reliable, and audit-ready. This includes identifying anomalies, resolving data inconsistencies, and maintaining documentation.
Who we’re looking for
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 3-5 years of hands-on experience in data analysis or a related field.
- Experience working in Agile environments or collaborating with development teams is a plus.
- Strong proficiency in SQL, including experience with analytical databases (Vertica, PostgreSQL, ClickHouse).
- Solid knowledge of Python (pandas, data manipulation, basic visualization, and common analytical/ML libraries).
- Strong understanding of statistical analysis, including descriptive statistics, hypothesis testing, confidence intervals, statistical significance, and experiment evaluation.
- Ability to build simple machine learning models (e.g., classifiers, scoring models, logistic regression, tree-based models) for analytical and operational use cases.
- Ability to perform exploratory data analysis (EDA) and draw actionable insights from complex datasets.
What we offer along the way
- Competitive salary and annual performance bonus.
- Full relocation support for you and your family — flights, housing, visas, and legal assistance included.
- Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind.
- Unlimited learning opportunities: external courses, English lessons, career and leadership development.
- Education allowance covering school and kindergarten fees.
- 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave.
- Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones.
- “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar.
- Employee share scheme — grow with us.
- Branded MINI Cooper Countryman company car and private parking.
- Free in-house sports clubs, Sanctum Club gym access, and jet skis.
- Access to a Corporate doctor.
- Exclusive discount program with cafes, gyms, and local services.
- Expat tax perks: up to 50% income tax exemption.
- Support with the naturalisation process for relocated employees.
At Exness, we know that changing jobs - and changing countries - is a big step. That’s why relocation with Exness is different. We make it smooth, supported, and truly life-changing.
What your journey looks like
- Intro call with Recruiter (30 minutes)
- Tech interview (90 minutes)
- Behavioural interview (60 minutes)
Please use your exness work email for internal applications and ensure to disclose any existing Conflict of Interest you may have.
