Binance Acceleration Program - Product Data Analyst

Jobgether; India; Hybrid; INR 167,000 - 279,000; Full time

Benefits offered by this job

3–6 month internship

Remote work possible

Global exposure

Mentorship

Competitive compensation

Job summary

Binance Accelerated Program in India seeks a Product Data Analyst intern to join a fast-paced product analytics team. You will work with real product data across funnels, experimentation, and user behavior to support data-driven decisions.

This 3–6 month internship provides hands-on practice with SQL, data visualization, experimentation, and product analytics, while helping you build a strong international network and contribute to product strategy.

Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or a quantitative field.
• Previous internship in product analytics or data analysis preferred.
• Fluent in English and Mandarin to coordinate with international partners.
• Solid understanding of A/B testing, hypothesis testing, p-values, confidence intervals, and uplift.
• Strong analytical thinking, attention to detail, and ability to work independently.

Responsibilities

• Support analysis of user funnels and drop-off points.
• Assist with A/B test analysis and uplift calculations.
• Build and maintain dashboards with product metrics.
• Respond to ad-hoc analytical requests from product teams.
• Write and optimize SQL queries for recurring pipelines.
• Monitor data quality and identify inconsistencies.
• Translate findings into clear summaries and visualizations.
• Collaborate with senior analysts and product teams to frame questions.

Skills

SQL

Python/R

A/B testing

Data visualization

Analytical thinking

Education

Bachelor's or Master's in Statistics/CS/Economics/Data Science

Tools

DataWind

Tableau

Power BI

Airflow

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Binance Acceleration Program - Product Data Analyst based in India.

Join a fast-paced product analytics team as an early-career data professional and gain hands-on experience working with real product data. You will support analysis across conversion funnels, experimentation, user behavior, and key product performance metrics. The role offers exposure to data-driven product strategy and experiment-led decision-making in a global, technology-focused environment. You will work alongside experienced analysts while developing practical skills in SQL, data visualization, experimentation, and product analytics. Your insights will help product teams understand user behavior, identify opportunities, and make better-informed decisions. This 3–6 month internship is designed to provide meaningful project experience, professional development, and opportunities to build a strong international network.

Accountabilities

• Support the development and analysis of user conversion funnels, identifying key drop-off points, behavioral patterns, and opportunities to improve the user experience.
• Assist with A/B test analysis by extracting experiment data, validating cohort allocation through sanity checks, calculating uplift metrics, and summarizing findings.
• Build and maintain dashboards tracking important product metrics, including click-through rates, conversion rates, unique visitors, and page views.
• Respond to ad-hoc analytical requests from product teams, including user segmentation, feature adoption analysis, and campaign performance assessments.
• Write, optimize, and maintain SQL queries used in recurring and scheduled data pipelines.
• Assist with data quality monitoring and help identify potential inconsistencies or issues in analytical datasets.
• Translate analytical findings into clear summaries, visualizations, and actionable insights for product stakeholders.
• Work closely with senior analysts and product teams to understand business questions and translate them into structured analytical approaches.
• Develop practical knowledge of product analytics, experimentation, user behavior, and data-driven product strategy.

Requirements

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or another quantitative discipline.
• Previous internship experience in product analytics, data analysis, business intelligence, or a related field is preferred.
• Strong curiosity and analytical thinking, with the ability to investigate trends, identify patterns, and explain findings clearly.
• Professional fluency in both English and Mandarin is required to coordinate effectively with international partners and stakeholders.
• Understanding of A/B testing fundamentals, including hypothesis testing, p-values, confidence intervals, cohort allocation, and uplift measurement.
• Strong logical reasoning, attention to detail, and the ability to work independently in a fast-moving environment.
• Demonstrated willingness to learn, with genuine curiosity about product strategy, user behavior, and data-driven decision-making.
• Proficiency in at least one of the following areas:
  • SQL: ability to write complex queries using CTEs, window functions, subqueries, and related techniques.
  • Programming: experience with Python or R for data manipulation and analysis.
  • Data visualization: familiarity with tools such as DataWind, Tableau, or Power BI.
• Experience with event tracking or behavioral analytics platforms such as Sensors, Mixpanel, or Google Analytics is an advantage.
• Familiarity with Airflow or other data scheduling and orchestration tools is a plus.
• Interest in cryptocurrency, fintech, blockchain, or digital assets is beneficial.
• Exposure to large-scale data environments such as Hive or Spark is a plus.

Benefits

• 3–6 month structured internship designed for current university students and recent graduates.
• Hands-on experience working on real product analytics projects alongside experienced data professionals.
• Exposure to conversion analysis, A/B testing, dashboards, user behavior analytics, and large-scale data infrastructure.
• Opportunities to develop practical technical, analytical, and product strategy skills.
• Networking and professional development opportunities within a global technology environment.
• Opportunity to collaborate with experienced professionals and international stakeholders.
• Fast-paced, innovative environment with exposure to unique product and data challenges.
• Opportunities for continued learning and potential career development.
• Competitive compensation and applicable company benefits, subject to local employment terms and applicable law.
• Remote work arrangement, subject to the requirements and working model of the relevant business team.