Business Analyst - instashop

instashop, headquartered in Dubai, is the leading online local marketplace in the UAE and Egypt . Since joining the Delivery Hero family in 2020, the global leader in online food delivery and q-commerce, instashop has been setting the standard for excellence and convenience in the region. With a dynamic and motivated team fueled by passion and innovation, every day at instashop is an opportunity for growth and success. We champion inclusivity, diversity and collaboration, creating an environment where everyone’s achievements are celebrated and where success is the only way forward. As we continue to grow, our team keeps expanding across the UAE, Egypt and Greece, and we’re always on the lookout for new talents to join us on our success journey. Job Description Strong hands-on SQL skills are essential, along with experience analysing business and marketing performance and an interest in using AI to make analytics faster, more scalable, and more impactful. • 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, activation, retention, churn, frequency, cohorts, segmentation, and customer value. • 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, and recommend opportunities to improve targeting and budget allocation. • Support customer segmentation and targeting strategies using behavioural, lifecycle, frequency, and value-based cohorts. • Conduct pre/post, cohort, benchmark, and incrementality-style analyses to evaluate campaigns, promotions, and business initiatives. • Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives. • Build dashboards and recurring reports using BI and visualisation tools, with clear visibility across business and marketing KPIs. • 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. • Ensure accuracy, consistency, and reliability of analytical outputs and underlying measurement logic. AI in Analytics The 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. • Supporting faster campaign, customer, and marketing performance analysis. • Improving insight generation, documentation, and stakeholder communication. • Building reusable analytical workflows or AI-assisted processes that improve team productivity and scalability. 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 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. Show more Show less

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.

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, activation, retention, churn, frequency, cohorts, segmentation, and customer value. 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, and recommend opportunities to improve targeting and budget allocation. Support customer segmentation and targeting strategies using behavioural, lifecycle, frequency, and value-based cohorts. Conduct pre/post, cohort, benchmark, and incrementality-style analyses to evaluate campaigns, promotions, and business initiatives. Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives. Build dashboards and recurring reports using BI and visualisation tools, with clear visibility across business and marketing KPIs. 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. Ensure accuracy, consistency, and reliability of analytical outputs and underlying measurement logic.