Business Analyst - Commercial Analytics
Posted date [2026-08-29]
(ID: 50386)
 |
Talabat is the MENA region’s leading on-demand delivery platform, headquartered in Dubai and operating across eight markets. We leverage a tech-driven flywheel model to connect millions of users with food, groceries, and essential services. By bridging the gap between people and local businesses, we continue to scale our ecosystem and simplify everyday life through innovation. |
Job Description and Requirements
Business Analyst - Commercial AnalyticsJob Snapshot
Role: Business Analyst - Commercial Analytics
Location: Dubai, United Arab Emirates
Industry: Internet
Function: Business Analysis-Research
Experience: 3-5 years
Job Type: Full-time
Position Overview
Business Analyst - Commercial Analytics in Dubai, United Arab Emirates is an Internet opportunity focused on SQL, business performance analysis, customer behavior, profitability, growth analytics, BI reporting, forecasting, and AI-enabled analytics. talabat is hiring an analytical professional to transform large datasets into commercially relevant insights that support faster, evidence-based decisions across Commercial, Marketing, Operations, Product, and other business functions.
Job Details
Country: United Arab Emirates
City: Dubai
Industry: Internet
Function: Business Analysis-Research
Salary: 15000-22000
Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer.
Gender: Any
Candidate Nationality: Any
Job Type: Full-time
Role Context
The Business Analyst will connect business questions with structured data analysis, helping teams understand what is driving
performance and where opportunities or risks are emerging. The position requires strong hands-on SQL capability combined with commercial judgment, allowing complex analytical findings to be translated into recommendations that stakeholders can act on.
A significant part of the role involves improving the efficiency of analytics through generative AI. AI tools will be used to accelerate SQL development, structure analytical approaches, automate repetitive reporting, and improve documentation while maintaining human judgment and rigorous analytical validation.
Key Responsibilities
* Analyze business performance across growth, revenue, profitability, customer behavior, marketing, and operational metrics.
* Translate loosely defined business questions into structured analytical problems and measurable hypotheses.
* Write SQL queries independently to extract, transform, and analyze large datasets.
* Optimize SQL queries to improve efficiency, reliability, and analytical turnaround time.
* Conduct deep-dive analyses to uncover performance gaps, emerging trends, growth opportunities, and underlying business drivers.
* Evaluate customer acquisition patterns and identify changes in channel or segment performance.
* Analyze retention, churn, purchase frequency, cohorts, and customer segmentation.
* Examine customer lifecycle behavior to identify opportunities for stronger engagement and commercial value.
* Support forecasting exercises and scenario modeling for proposed initiatives or business changes.
* Develop business cases using data, assumptions, financial drivers, and expected impact.
* Estimate the potential commercial impact of new products, campaigns, pricing decisions, or operational initiatives.
* Build dashboards and recurring reports using suitable business intelligence and visualization platforms.
* Improve existing reporting by reducing manual effort and increasing clarity for decision-makers.
* Partner with Commercial, Marketing, Operations, Product, and other teams to establish meaningful KPIs.
* Challenge unclear metrics and ensure performance measures connect to genuine business outcomes.
* Present analytical findings in concise language that non-technical stakeholders can understand.
* Convert data patterns into specific recommendations rather than limiting analysis to descriptive reporting.
* Monitor analytical outputs for accuracy, consistency, and reliability.
* Validate assumptions and investigate unexpected results before communicating conclusions.
* Use generative AI tools to accelerate SQL development, debugging, and query refinement.
* Apply AI to generate analytical hypotheses and structure approaches for complex business questions.
* Automate repetitive reporting and analytical workflows where appropriate.
* Use AI-supported methods to strengthen documentation and stakeholder communication.
* Ensure AI enhances analytical reasoning without replacing independent validation and critical thinking.
* Contribute to experimentation analysis, including A-B testing where applicable.
* Support analysis of pricing, retention, churn, marketing efficiency, and unit economics when required.
Ideal Profile
Candidates should bring 3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a closely related discipline.
Advanced hands-on SQL ability is essential. The successful candidate should be comfortable independently querying large datasets, troubleshooting issues, improving query performance, and structuring data for business analysis.
Strong Excel or Google Sheets capability is required, along with practical exposure to BI platforms such as Tableau, Power BI, Looker, Metabase, or comparable visualization tools.
The role suits someone who combines analytical rigor with commercial curiosity. Candidates should be able to move from identifying a pattern in data to explaining why it matters, what may be causing it, and what the business should consider doing next.
Practical experience with generative AI tools in analytics workflows is important. Exposure to Python, experimentation, A-B testing, customer lifecycle analysis, pricing, retention, churn, or unit economics would strengthen the profile.
Experience within e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology environments will be particularly valuable.
Skills Set
* Business analytics
* Data analytics
* SQL
* SQL query optimization
* Large dataset analysis
* Microsoft Excel
* Google Sheets
* Tableau
* Power BI
* Looker
* Metabase
* Business intelligence
* Dashboard development
* Data visualization
* Growth analytics
* Revenue analysis
* Profitability analysis
* Customer analytics
* Customer acquisition analysis
* Customer retention
* Churn analysis
* Cohort analysis
* Customer segmentation
* Customer lifecycle analysis
* Marketing analytics
* Operational analytics
* Forecasting
* Scenario modeling
* Business case development
* Impact estimation
* KPI development
* Unit economics
* Pricing analytics
* A-B testing
* Experimentation analysis
* Python
* Generative AI
* AI-assisted SQL
* Analytics automation
* Data quality validation
* Insight generation
* Stakeholder communication
* Cross-functional analysis
Why Join Us
Business analytics plays a central role in digital marketplaces where customer behavior, commercial performance, operational efficiency, and product decisions generate large volumes of constantly changing data. This position offers the opportunity to work across several business domains rather than remaining confined to a single reporting function.
At talabat, the role also provides practical exposure to AI-enabled analytics, advanced SQL work, customer lifecycle analysis, BI reporting, growth performance, and commercial decision support. That breadth can create strong progression opportunities into senior analytics, strategy, growth, data, commercial planning, or business intelligence roles.
About the Company
talabat is a leading online food, grocery, and local delivery platform in the Middle East and part of the Delivery Hero Group. The company operates a technology-driven marketplace connecting customers with restaurants, retailers, and other partners while supporting large-scale commercial, product, marketing, analytics, and operational functions across the region.
A significant part of the role involves improving the efficiency of analytics through generative AI. AI tools will be used to accelerate SQL development, structure analytical approaches, automate repetitive reporting, and improve documentation while maintaining human judgment and rigorous analytical validation.
Key Responsibilities
* Analyze business performance across growth, revenue, profitability, customer behavior, marketing, and operational metrics.
* Translate loosely defined business questions into structured analytical problems and measurable hypotheses.
* Write SQL queries independently to extract, transform, and analyze large datasets.
* Optimize SQL queries to improve efficiency, reliability, and analytical turnaround time.
* Conduct deep-dive analyses to uncover performance gaps, emerging trends, growth opportunities, and underlying business drivers.
* Evaluate customer acquisition patterns and identify changes in channel or segment performance.
* Analyze retention, churn, purchase frequency, cohorts, and customer segmentation.
* Examine customer lifecycle behavior to identify opportunities for stronger engagement and commercial value.
* Support forecasting exercises and scenario modeling for proposed initiatives or business changes.
* Develop business cases using data, assumptions, financial drivers, and expected impact.
* Estimate the potential commercial impact of new products, campaigns, pricing decisions, or operational initiatives.
* Build dashboards and recurring reports using suitable business intelligence and visualization platforms.
* Improve existing reporting by reducing manual effort and increasing clarity for decision-makers.
* Partner with Commercial, Marketing, Operations, Product, and other teams to establish meaningful KPIs.
* Challenge unclear metrics and ensure performance measures connect to genuine business outcomes.
* Present analytical findings in concise language that non-technical stakeholders can understand.
* Convert data patterns into specific recommendations rather than limiting analysis to descriptive reporting.
* Monitor analytical outputs for accuracy, consistency, and reliability.
* Validate assumptions and investigate unexpected results before communicating conclusions.
* Use generative AI tools to accelerate SQL development, debugging, and query refinement.
* Apply AI to generate analytical hypotheses and structure approaches for complex business questions.
* Automate repetitive reporting and analytical workflows where appropriate.
* Use AI-supported methods to strengthen documentation and stakeholder communication.
* Ensure AI enhances analytical reasoning without replacing independent validation and critical thinking.
* Contribute to experimentation analysis, including A-B testing where applicable.
* Support analysis of pricing, retention, churn, marketing efficiency, and unit economics when required.
Ideal Profile
Candidates should bring 3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a closely related discipline.
Advanced hands-on SQL ability is essential. The successful candidate should be comfortable independently querying large datasets, troubleshooting issues, improving query performance, and structuring data for business analysis.
Strong Excel or Google Sheets capability is required, along with practical exposure to BI platforms such as Tableau, Power BI, Looker, Metabase, or comparable visualization tools.
The role suits someone who combines analytical rigor with commercial curiosity. Candidates should be able to move from identifying a pattern in data to explaining why it matters, what may be causing it, and what the business should consider doing next.
Practical experience with generative AI tools in analytics workflows is important. Exposure to Python, experimentation, A-B testing, customer lifecycle analysis, pricing, retention, churn, or unit economics would strengthen the profile.
Experience within e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology environments will be particularly valuable.
Skills Set
* Business analytics
* Data analytics
* SQL
* SQL query optimization
* Large dataset analysis
* Microsoft Excel
* Google Sheets
* Tableau
* Power BI
* Looker
* Metabase
* Business intelligence
* Dashboard development
* Data visualization
* Growth analytics
* Revenue analysis
* Profitability analysis
* Customer analytics
* Customer acquisition analysis
* Customer retention
* Churn analysis
* Cohort analysis
* Customer segmentation
* Customer lifecycle analysis
* Marketing analytics
* Operational analytics
* Forecasting
* Scenario modeling
* Business case development
* Impact estimation
* KPI development
* Unit economics
* Pricing analytics
* A-B testing
* Experimentation analysis
* Python
* Generative AI
* AI-assisted SQL
* Analytics automation
* Data quality validation
* Insight generation
* Stakeholder communication
* Cross-functional analysis
Why Join Us
Business analytics plays a central role in digital marketplaces where customer behavior, commercial performance, operational efficiency, and product decisions generate large volumes of constantly changing data. This position offers the opportunity to work across several business domains rather than remaining confined to a single reporting function.
At talabat, the role also provides practical exposure to AI-enabled analytics, advanced SQL work, customer lifecycle analysis, BI reporting, growth performance, and commercial decision support. That breadth can create strong progression opportunities into senior analytics, strategy, growth, data, commercial planning, or business intelligence roles.
About the Company
talabat is a leading online food, grocery, and local delivery platform in the Middle East and part of the Delivery Hero Group. The company operates a technology-driven marketplace connecting customers with restaurants, retailers, and other partners while supporting large-scale commercial, product, marketing, analytics, and operational functions across the region.
