Business Analyst

talabat; Dubai; On-site; AED 201,000 - 335,000; Full time

Job summary

talabat in Dubai is seeking a curious and analytical Business Analyst to transform large datasets into insights and actionable recommendations. You will translate business questions into structured analyses and collaborate with Commercial, Marketing, Operations, Product, and other teams to drive data-driven decisions.

Responsibilities include building and optimising SQL queries, creating dashboards, and supporting forecasting, with a strong emphasis on AI-enabled analytics to accelerate delivery

Qualifications

• 3-5 years of experience in business analytics or related field.
• Proficient in SQL and Excel/Google Sheets.
• Experience with BI tools (Tableau, Power BI, Looker or similar).
• Ability to translate data into clear business recommendations.
• Experience with AI tools to accelerate analytics is a plus.
• Familiarity with e-commerce, marketplaces, or consumer tech is desirable.
• Knowledge of A/B testing and experimentation.
• Experience with Python is a plus.

Responsibilities

• Analyse performance across growth, customer behaviour, revenue, profitability, marketing and operations.
• Independently write and optimise SQL queries to extract and analyse large datasets.
• Build dashboards and recurring reports using BI and visualization tools.
• Partner with cross-functional teams to define KPIs and provide clear commercially relevant recommendations.
• Support business cases forecasting scenario modelling and impact estimation for new initiatives.

Skills

SQL

Excel/Sheets

BI tools

Analytical thinking

Business recommendations

Stakeholder management

Generative AI

Python

A/B testing

Customer lifecycle

Tools

Tableau

Power BI

Looker

Metabase

Job description

Job Description

We are looking for a curious and analytical Business Analyst who can work with large datasets translate business questions into structured analyses and turn insights into actionable recommendations

The role will work closely with Commercial Marketing Operations Product and other teams to evaluate performance identify opportunities and support data-driven decisions Strong hands-on SQL skills are essential along with an interest in using AI to make analytics faster and more scalable Analyse business performance across growth customer behaviour revenue profitability marketing and operations Independently write and optimise SQL queries to extract and analyse large datasets Conduct deep dives to identify trends performance gaps growth opportunities and key business drivers Analyse customer behaviour across acquisition retention churn frequency cohorts and segmentation Support business cases forecasting scenario modelling and impact estimation for new initiatives Build dashboards and recurring reports using BI and visualisation tools Partner with cross-functional teams to define KPIs and provide clear commercially relevant recommendations Ensure accuracy and reliability of analytical outputs AI in AnalyticsThe candidate should actively use AI as part of the analytics workflow including Accelerating SQL development debugging and analysis Structuring analytical approaches and generating hypotheses Automating repetitive reporting and analytical tasks Improving insight generation documentation and stakeholder communication AI should enhance analytical thinking not replace it

Qualifications

• 3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field.
• Strong hands-on SQL skills.
• Strong Excel / Google Sheets skills.
• Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.
• Strong analytical, problem-solving, and structured thinking skills.
• Ability to translate data into clear business recommendations.
• Comfortable working with multiple stakeholders in a fast-paced environment.
• Practical exposure to generative AI tools in analytical workflows.
• Nice to HaveExperience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology.
• Exposure to Python.
• Understanding of A/B testing and experimentation.
• Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.