We are looking for a skilled Lead Data Analyst to join our 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:

• A/B Testing Support: 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.
• Management of the team and reaching the department KPI's.
• Reporting & Dashboard Creation: 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.
• Cohort Analysis: Perform cohort analysis to track user behavior over time, identify trends, and recommend improvements for user retention and engagement.
• Metric Analysis: Analyse product metrics and KPIs, including LTV, CAC, Conversion Rate, Churn Rate, and others, to provide actionable insights for product optimisation.
• Data Insights: Collaborate with product managers, UX/UI designers, and developers to provide data-driven insights that will guide product development and optimisation.
• Data Validation & Quality: Ensure the accuracy and reliability of data by validating sources, performing data cleaning, and maintaining data quality standards.
• Cross-functional Collaboration: Work closely with product, marketing, engineering, risk management, data scientists and other teams to align data analysis with business goals.

Take a part in hypothesis building in part of collecting and preparing data

Professional Qualifications:

• Proficiency in analysis and data interpretation (3+years experience)
• Strong experience in designing and analysing A/B tests or similar experimental frameworks.
• 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 with the web and application analytics: Google Analytics, Firebase, Appsflyer, etc.
• Experience in management team;
• 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.
• Proven ability to conduct cohort analysis to understand user behavior and trends over time.
• Upper-intermediate English (written and spoken)
• A passion for data and a curiosity to dig deeper into data to uncover hidden insights.

Additional:

• Experience with Python or R for data analysis and statistical modeling is a plus.
• Familiarity with Amplitude is a plus.

Expected results:

• Develop and maintain comprehensive dashboards that provide real-time visibility into loan application volumes, approval rates, delinquency rates, customer segments, and other key metrics.
• Generate monthly/quarterly reports highlighting trends in loan performance and customer activity.
• Present data insights to stakeholders and help translate findings into strategic initiatives.
• Analyse customer journey data to identify drop-off points in the loan application process and provide insights for improving user experience.
• Track customer lifetime value (LTV) and identify high-value customers for retention efforts.
• Analyse the end-to-end loan application process, identifying bottlenecks and inefficiencies (e.g., time delays in approval stages or manual data entry).
• Collaborate with operations and product teams to recommend automation solutions based on data insights (e.g., automating document verification or approvals).
• Measure and track key operational metrics such as average loan processing time, approval rates, and customer satisfaction scores.
• Design and analyse A/B tests on different user interface elements, marketing strategies, or loan product features to improve user experience and conversion rates.
• Collaborate with the product and UX teams to recommend changes based on test outcomes (e.g., application flow optimisation, simplifying loan application steps).
• Monitor changes in user engagement and satisfaction metrics post-implementation of recommended changes.
• Conduct multivariate testing to identify the best combinations of loan offers, page designs, or customer touchpoints.

What We Offer:

• Be part of a dynamic and growing FinTech company where you can make a real impact.
• Remote working option.
• We offer a competitive salary package and benefits.