Senior Data Analyst

Tanqeeb; Dubai; Hybrid; AED 45,000 - 89,000; Part time

Job summary

USMLE Buddy AI is seeking a Senior Data Analyst for a part-time, hybrid role based in Dubai, UAE. You will collect, clean, and analyze user and product data, build dashboards, define metrics, and collaborate with product, engineering, and content teams to translate insights into actionable recommendations.

You will contribute to experiments and content strategy, with strong emphasis on analytics, data modeling, and effective communication to stakeholders.

Qualifications

• Strong analytical skills to derive insights from large datasets.
• Proficiency in statistics including hypothesis testing and regression analysis.
• Experience with data modeling and SQL/data warehousing concepts.
• Excellent communication to present findings to diverse stakeholders.
• Experience with data visualization tools (Power BI, Tableau, Looker) and Excel.

Responsibilities

• Collect, clean, and analyze user and product data.
• Build dashboards and reports to inform content strategy and product decisions.
• Define metrics, monitor performance, and support experiments/A/B tests.
• Collaborate with product, engineering, and content teams to translate insights into actions.

Skills

Analytical skills

Statistics proficiency

Data modeling

Communication

Data visualization tools

Education

Bachelor or higher in Data Science/Statistics/CS/Engineering

Tools

SQL

Power BI

Tableau/Looker

Python/R

Excel

Job description

Role Description

The Senior Data Analyst will play a key role in shaping data-driven decisions that improve learning outcomes and product performance at USMLE Buddy AI. This part-time, hybrid role is based in Dubai, United Arab Emirates, with flexibility for some work-from-home arrangements.

Day-to-day responsibilities include collecting, cleaning, and analyzing user and product data; building dashboards and reports; and identifying trends that inform content strategy, feature development, and user experience optimization. The Senior Data Analyst will design and maintain data models, conduct statistical analyses, and collaborate closely with product, engineering, and content teams to translate insights into actionable recommendations. The role also involves defining key metrics, monitoring performance, and contributing to experiments and A/B tests to evaluate new features and learning interventions.

Qualifications

Strong analytical skills and experience in data analytics to derive insights from large, complex datasets.

Proficiency in statistics, including hypothesis testing, regression analysis, and experimental design.

Experience with data modeling and database querying (e.g., SQL, dimensional modeling, data warehousing concepts).

Effective communication skills to present findings clearly to technical and non-technical stakeholders.

Proficiency with data visualization and analysis tools (e.g., Power BI, Tableau, Looker, Excel, Python or R for analytics).

Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.

Experience working with product analytics, learning analytics, or edtech platforms is an advantage.

Ability to work independently, manage multiple priorities, and contribute to a collaborative, cross-functional environment.