Senior Business Intelligence Analyst, Zalopay

We are looking for a Senior Business Intelligence Analyst to join our User Growth team and play a key role in driving data-informed growth decisions for our e-wallet platform.

This role goes beyond traditional reporting and data analysis. You will work closely with Growth, Product, Technology, Data team and other stakeholders to understand user behavior, identify growth opportunities, evaluate initiatives, and translate data into actionable business strategies.

You will also take ownership of cross-functional analytical projects, including A/B testing, new product launches, advertising event tracking, and analytics infrastructure development, helping establish a strong data foundation for future Growth, CRM, and AI-driven initiatives.

We are looking for someone who combines strong analytical capabilities, structured problem-solving, business acumen, and a proactive ownership mindset.

Key Responsibilities

1. Growth Analytics & Experimentation

User Behavior & Growth Analytics

• Conduct in-depth analysis of user acquisition, activation, retention, conversion, and engagement to identify behavioral patterns, growth opportunities, and potential business risks.
• Perform cohort analysis, user segmentation, funnel analysis, and retention studies to understand user lifecycle and drivers of business performance.
• Translate business questions into structured analytical hypotheses, analytical approaches, and actionable insights.
• Evaluate the performance and effectiveness of Growth, CRM, promotion, and product initiatives, providing recommendations to optimize business outcomes.

A/B Testing & Experimentation

• Partner with Growth and Product teams to identify opportunities for experimentation and design data-driven solutions.
• Independently design and manage A/B tests, including hypothesis formulation, test design, primary metrics, guardrail metrics, sample size considerations, and success criteria.
• Analyze experiment results, support stakeholders in making decisions on whether to scale, iterate, or discontinue initiatives based on experimental evidence.

Business Partnership & Project Ownership

• Work closely with Growth and Product teams to understand business priorities and translate them into analytical roadmaps.
• Independently own analytical projects end-to-end, from problem framing and data exploration to analysis, experimentation, conclusion, and recommendation.
• Proactively identify business opportunities and performance gaps rather than relying solely on ad-hoc requests.
• Present analytical findings and recommendations clearly to stakeholders, influencing decisions through data and structured reasoning.

2. Analytics Foundation & Future Initiatives

Data Tracking & Analytics Infrastructure

• Own and drive initiatives related to advertising event tracking, event centralization, and data quality improvement.
• Collaborate with Product, Technology, Growth, and Data teams to define tracking requirements, align data specifications, and resolve data discrepancies.
• Ensure reliable, consistent, and actionable data is available for performance measurement, user behavior analysis, and campaign optimization.
• Identify gaps in existing tracking and analytics infrastructure and proactively drive solutions through to completion.

Scalable Analytics & Advanced Use Cases

• Build reusable datasets, analytical frameworks, and measurement methodologies to support future Growth/CRM initiatives; and self-service analytics capabilities across the team.

3. Ad-hoc and support daily/weekly request from User Growth team 

Requirements

Must-have Qualifications

• Minimum 2 years of relevant experience in Business Intelligence, Data Analytics, Product Analytics, Growth Analytics, or a related field (excluding internships).
• Strong SQL skills with the ability to independently extract, transform, and analyze large datasets.
• Having knowledge in relation to Python for data analysis and statistical analysis.
• Understanding analytical methodologies, including funnel analysis, cohort analysis, segmentation, retention analysis, and hypothesis testing.
• Experience with BI and data visualization tools such as Power BI, Tableau, or Looker.
• Strong business acumen, structured problem-solving skills, and the ability to translate complex data into clear business insights.
• Good communication and presentation skills, with the ability to work effectively with both technical and non-technical stakeholders.
• Demonstrated ownership of analytical projects and ability to manage multiple priorities independently.

Nice-to-have Qualifications

• Experience in fintech, e-wallets, mobile applications, digital products, or consumer-facing platforms.
• Familiarity with product analytics and marketing measurement tools such as Firebase, GA4, AppsFlyer, or similar platforms.
• Experience with data tracking implementation, event taxonomy, data pipelines, or data quality management.
• Practical knowledge of A/B testing, experimental design, statistical significance, and incremental impact measurement.
• Exposure to machine learning, predictive modeling, behavioral segmentation, recommendation systems, or AI-driven analytics.
• Experience working in an Agile or cross-functional product development environment.