Mandarin-Speaking Growth & Analytics Intern

Keeta; Dubai; On-site; AED 33,000 - 56,000; Full time

Job summary

Keeta in Dubai seeks a User Growth & Operations Intern to turn data into actionable insights, support growth strategies, and monitor campaigns. You will analyze performance data across cities and segments, build trackers, and provide recommendations to drive user growth and business performance.

Ideal candidates are pursuing degrees in Business Analytics, Economics, Data Science, or Statistics, with strong SQL and Excel skills, Mandarin and English fluency, and the ability to work 4 days a week

Qualifications

• Degree in Business, Business Analytics, Economics, Data Science, Statistics, or related field.
• Strong analytical skills with experience handling large datasets.
• Proficient in writing SQL queries and data extraction.
• Excel proficiency: pivot tables, formulas, charts, data modeling.

Responsibilities

• Pull, clean, and analyze performance data across cities, user segments, and campaigns.
• Build and maintain weekly/monthly trackers, reports, and forecast models for growth planning.
• Turn data into clear insights and actionable recommendations for business decisions.
• Monitor live campaigns and KPIs, flag issues and identify optimization opportunities.
• Support campaign launches through baseline analysis, target setting, and reviews.
• Coordinate with CRM, Product, Marketing, and Finance on data requests.
• Support analysis related to user segmentation, subsidy optimization, and campaign strategy.

Skills

Analytical skills

SQL queries

Spreadsheets

Data modeling

Forecasting

Communication

Mandarin

English

Attention to detail

Education

Business Analytics

Economics

Data Science

Statistics

Business

Tools

SQL

Excel

Job description

Keeta in Dubai seeks a User Growth & Operations Intern to turn data into actionable insights, support growth strategies, and monitor campaigns. You will analyze performance data across cities and segments, build trackers, and provide recommendations to drive user growth and business performance.

Ideal candidates are pursuing degrees in Business Analytics, Economics, Data Science, or Statistics, with strong SQL and Excel skills, Mandarin and English fluency, and the ability to work 4 days a week