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.