Business Analyst - instashop

Role Overview

Business Analyst at instashop, a Delivery Hero company headquartered in Dubai. The role is based in the UAE, Egypt, or Greece region.

Company Overview

instashop is the leading online local marketplace in the UAE and Egypt, and has been part of the Delivery Hero family since 2020. Delivery Hero is the global leader in online food delivery and q-commerce. The team is dynamic, motivated, and champions inclusivity, diversity, and collaboration across operations in the UAE, Egypt, and Greece.

Role Purpose

To drive business growth and marketing performance through data-driven analysis. This role combines hands-on SQL expertise with strategic insight to identify trends, opportunities, and key business drivers across customer acquisition, retention, revenue, and profitability. The analyst will use AI to accelerate and scale analytical workflows while translating complex data into clear, commercially relevant recommendations for cross-functional stakeholders.

Key Responsibilities

Business Performance Analysis

• Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations.
• Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers.
• Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives.

Data Extraction & SQL Development

• Independently write and optimise SQL queries to extract and analyse large datasets.
• Accelerate SQL development and debugging using AI tools.
• Ensure accuracy, consistency, and reliability of analytical outputs and underlying measurement logic.

Customer Analytics

• Analyse customer behaviour across acquisition, activation, retention, churn, frequency, cohorts, segmentation, and customer value.
• Support customer segmentation and targeting strategies using behavioural, lifecycle, frequency, and value-based cohorts.

Marketing & Campaign Analysis

• Analyse marketing and campaign performance across relevant channels, connecting marketing activity to customer acquisition, engagement, conversion, retention, and revenue.
• Evaluate marketing efficiency metrics such as CAC/CARC, ROAS, conversion, campaign uplift, and customer quality.
• Recommend opportunities to improve targeting and budget allocation.
• Conduct pre/post, cohort, benchmark, and incrementality-style analyses to evaluate campaigns, promotions, and business initiatives.

Reporting & Dashboards

• Build dashboards and recurring reports using BI and visualisation tools, with clear visibility across business and marketing KPIs.
• Automate repetitive reporting and analytical tasks using AI.
• Build reusable analytical workflows or AI-assisted processes that improve team productivity and scalability.

Stakeholder Collaboration & Insight Delivery

• Partner with Marketing, Product, Commercial, Operations, and other cross-functional teams to define KPIs and provide clear, commercially relevant recommendations.
• Translate complex analysis into clear insights and actions for business stakeholders.
• Improve insight generation, documentation, and stakeholder communication using AI tools.
• Structure analytical approaches and generate hypotheses using AI to support faster campaign, customer, and marketing performance analysis.

Qualifications & Experience

• 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 or Google Sheets skills.
• Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.
• Practical exposure to generative AI tools in analytical workflows.

Skills & Competencies

• 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.
• Active use of AI as part of the analytics workflow.

Additional Information

Nice to Have

• Experience 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.