Data Analyst
About the Company:
Our client is an international product-driven FinTech company specializing in financial solutions across various markets and segments. Core business areas include online lending, KYC solutions, Lending as a Service (LaaS), and ad tech. All projects are developed and managed by an in-house team. The company operates offices in Nicosia, Bucharest, Prague.
We are looking for a skilled Data Analyst to join product team. You will play a critical role in supporting data-driven decision-making by analysing user behavior, optimising key metrics & funnels, and creating reports that will help us enhance our FinTech product offerings.
Main Responsibilities:
- Design, implement, and analyse A/B tests to measure the impact of product changes and features. Interpret results and provide actionable insights to the product team
- Develop and maintain interactive dashboards and reports using Power BI to track key performance indicators (KPIs) such as LTV, CAC, Conversion Rate, and other relevant metrics
- Perform cohort analysis to track user behavior over time, identify trends, and recommend improvements for user retention and engagement.
- Collaborate with product managers, UX/UI designers, and developers to provide data-driven insights that will guide product development and optimisation
- Ensure the accuracy and reliability of data by validating sources, performing data cleaning, and maintaining data quality standards
- Work closely with product, marketing, engineering, risk management, data scientists and other teams to align data analysis with business goals
- Design and analyse A/B tests on different user interface elements, marketing strategies, or loan product features to improve user experience and conversion rates
Expected results:
- Improved data architecture and optimized ETL pipelines to ensure efficient data processing and reporting
- Enhanced data accuracy, consistency, and reliability across the organization
- Lead the DWH team, providing strategic direction and mentorship to data engineers
- Develop and implement cohort analysis frameworks to track user behavior, retention, and churn
- Measure and track customer lifetime value (LTV) and identify high-value customers for retention efforts
Professional Qualifications:
- Proficiency in analysis and data interpretation (3+years experience)
- Proficiency in data modeling, ETL processes, and optimizing data pipelines in collaboration with Data Engineers
- Strong understanding of cloud-based data solutions (e.g., BigQuery, Snowflake, Redshift, or similar)
- Strong analytical mindset with experience in A/B testing, experimentation, and performance tracking
- Proficient in Power BI (or similar tools like Tableau) for creating reports and dashboards
- Strong ability to write complex SQL queries for data extraction and analysis
- Experience in working closely with data engineers and defining tasks for them
- Experience with the web and application analytics: Google Analytics, Firebase, Appsflyer, etc.
- Advanced Excel skills, including experience with pivot tables, v-lookups, and complex formulas
- Solid understanding of key product metrics like LTV, CAC, Conversion Rate, Retention Rate, and Churn
- Strong problem-solving skills with the ability to transform complex data into actionable insights
- Hands-on experience conducting cohort analysis, customer segmentation, and retention analysis
- Excellent communication and stakeholder management skills
- Upper-intermediate English (written and spoken)
Additional:
● Experience with Python or R for data analysis and statistical modeling is a plus.
● Familiarity with Amplitude is a plus.
Are you interested?
Please feel free to contact me to get more details about the vacancy.