- Collaborate with performance marketing, CRM, brand, product, and engineering teams to implement data-driven solutions that improve acquisition efficiency, engagement, and retention.
- Define, monitor, and report on the core marketing KPIs, including CAC, ROAS, conversion rate, activation rate, retention, churn, customer lifetime value, and loyalty and subscription program metrics.
- Analyze and interpret complex marketing and customer data sets using statistical techniques and provide stakeholders with clear, actionable insight.
- Investigate leakage and drop-off across the customer funnel (awareness, install, registration, first order, repeat, retention) and recommend targeted improvements.
- Own reporting and analysis for retention and churn, including cohort retention curves, churn drivers, win-back performance, and early-warning signals for at-risk customers.
- Own the analytics for the loyalty and subscription programs, including enrollment and adoption, engagement and redemption behavior, renewal and cancellation, subscriber vs. non-subscriber economics, and overall program ROI.
- Measure campaign and promotion performance, support budget allocation across channels, and evaluate incrementality so spend flows to what actually drives growth.
- Analyze customer segments and cohort-level performance to inform targeting, personalization, and lifecycle strategy.
- Design and maintain dashboards and visualizations that give marketing teams real-time and historical visibility into performance.
- Stay up to date with industry trends in marketing analytics, attribution, and growth measurement to keep our capabilities competitive.
- Identify areas of opportunity, guide teams in designing complex growth initiatives, and mentor junior analysts in a collaborative environment.
- A bachelor's or master's degree in a related field, such as data science, statistics, mathematics, economics, marketing analytics, or computer science.
- At least 5 years of experience in marketing, growth, or customer analytics, preferably in a fast-paced e-commerce, marketplace, or consumer app environment.
- Strong proficiency in SQL, Python, and/or R, as well as experience with data visualization tools such as Tableau or Power BI.
- Experience working with campaign, funnel, and customer behavioral data (e.g., impressions, clicks, installs, sessions, orders, cohorts) and comfort with attribution and funnel analysis.
- Experience analyzing retention, churn, and repeat behavior, ideally including loyalty, rewards, or subscription/membership programs (enrollment, engagement, redemption, renewal, and cancellation dynamics).
- Excellent analytical and problem-solving skills, with the ability to extract insight from large, messy marketing and customer data sets.
- Effective communication skills, with the ability to translate marketing data into clear recommendations for non-technical stakeholders such as performance marketing, CRM, and brand teams.
- Strong attention to detail and accuracy, with the ability to identify and correct errors in data.
- Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast-paced, campaign-driven environment.
- Strong collaboration skills, with the ability to work effectively within a diverse, cross-functional team.
- Proven experience in food delivery, quick commerce, or consumer super app businesses.
- Familiarity with digital marketing platforms and their data (Google Ads, Meta, TikTok, Apple Search Ads) and with MMPs such as AppsFlyer or Adjust.
- Demonstrated causal analytics skills or a full understanding of causality (e.g., incrementality testing, geo experiments, and measuring the true impact of a campaign rather than correlation).
- Experience modeling marketing unit economics at the customer level (CAC, payback period, contribution margin, LTV) and aggregating it reliably across time, cohorts, channels, and other dimensions.
- Experience measuring the incremental impact and unit economics of loyalty and subscription programs (e.g., points liability, redemption cost, subscriber contribution margin, cannibalization vs. genuine frequency lift).
- Familiarity with customer segmentation, RFM analysis, churn prediction, and lifecycle marketing measurement.
- Exposure to marketing mix modeling, multi-touch attribution concepts, and to data processing pipelines and data engineering basics.
- Familiarity with machine learning techniques and experience contributing to predictive models such as LTV prediction, churn scoring, or propensity modeling.
Skills Required
- Bachelor's or master's degree in data science, statistics, mathematics, economics, marketing analytics, or computer science
- At least 5 years of experience in marketing, growth, or customer analytics (preferably e-commerce, marketplace, or consumer app)
- Strong proficiency in SQL
- Proficiency in Python and/or R
- Experience with data visualization tools such as Tableau or Power BI
- Experience working with campaign, funnel, and customer behavioral data and attribution/funnel analysis
- Experience analyzing retention, churn, repeat behavior, and loyalty/subscription program metrics
- Excellent analytical and problem-solving skills, able to extract insight from large, messy datasets
- Effective communication skills to translate data into recommendations for non-technical stakeholders
- Strong attention to detail and accuracy in data work
- Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced, campaign-driven environment
- Strong collaboration skills and experience mentoring junior analysts
- Proven experience in food delivery, quick commerce, or consumer super app businesses
- Familiarity with Google Ads, Meta, TikTok, Apple Search Ads and MMPs such as AppsFlyer or Adjust
- Causal analytics skills (incrementality testing, geo experiments) and experimental design
- Experience modeling marketing unit economics (CAC, payback, contribution margin, LTV)
- Experience measuring incremental impact and unit economics of loyalty and subscription programs
- Familiarity with customer segmentation, RFM analysis, churn prediction, and lifecycle marketing measurement
- Exposure to marketing mix modeling, multi-touch attribution, and data engineering basics
- Familiarity with machine learning techniques for predictive modeling (LTV, churn scoring, propensity)
What We Do
Welcome to Snoonu, Qatar's leading tech innovator. Founded by Hamad Al-Hajri in 2019, Snoonu is your go-to app for online shopping, food and grocery delivery, pharmacy needs, and more. At Snoonu, we're not just revolutionizing convenience but pioneering it. Our super-app offers 11 essential services in one place, from quick meals to urgent pharmacy runs, grocery shopping, and even a personal picker (Snoosend). We're here to make your life easier and inspire you with our constant drive for innovation. But we're more than just a company; we're a vibrant community driven by a shared vision to harness technology for societal betterment. Join a team that doesn't just participate in the future of Qatar's economy but shapes it. Here, being extraordinary is our everyday standard. By using our services, you're not just making your life easier; you're contributing to the growth and convenience of our community. With our app, convenience is just a tap away. Experience the ease of having anything delivered to your doorstep. Embark on this exhilarating journey with us and be part of Qatar's next big success story. Visit us: ★ Website: https://snoonu.com ★ Instagram: https://www.instagram.com/snoonu/ ★ Twitter: https://twitter.com/snoonu_qa ★TikTok: https://www.tiktok.com/@snoonu ★ Facebook: https://www.facebook.com/snoonu.qa/

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