BI Lead - Marketing

Overview

Join an exciting opportunity as a Marketing BI Lead where you'll partner closely with marketing managers, growth and CRM teams, data scientists, product leads, and other stakeholders. Your mission is to transform marketing and customer data into strategic insights that enhance customer acquisition, engagement, and retention across the entire lifecycle.

Key Responsibilities

• Collaborate across performance marketing, CRM, brand, product, and engineering teams to develop data-driven strategies improving acquisition, engagement, and customer loyalty.
• Define and track vital marketing KPIs such as customer acquisition cost (CAC), return on ad spend (ROAS), conversion rates, activation, retention rates, churn, customer lifetime value, and metrics tied to loyalty and subscriptions.
• Analyze complex marketing datasets using statistical methods to deliver clear actionable insights to business stakeholders.
• Diagnose funnel leakages at each stage (awareness, install, registration, first order, repeat purchase, retention), recommending targeted enhancements.
• Lead retention and churn analytics, including cohort retention curves, churn drivers, reactivation performance, and early alerts for customers at risk.
• Manage analytics for loyalty and subscription programs, focusing on enrollment, engagement, redemption, renewals, cancellations, customer economics, and overall ROI.
• Evaluate campaign performance and promotions, guide budget allocation across channels, and assess incrementality to maximize growth effectiveness.
• Segment customers and analyze cohort-based performance for better targeting, personalization, and lifecycle strategies.
• Create and maintain dashboards and visualizations that provide marketing teams with real-time and historical performance data.
• Stay informed on current marketing analytics trends, attribution methodologies, and growth measurement techniques to ensure competitive capabilities.
• Identify growth opportunities, lead complex initiatives, and mentor junior analysts within a collaborative environment.

Candidate Profile

• Bachelor’s or Master’s degree in areas like data science, statistics, mathematics, economics, marketing analytics, or computer science.
• Minimum 5 years of relevant experience in marketing, growth, or customer analytics, ideally within fast-moving e-commerce, marketplaces, or consumer app settings.
• Proficient in SQL, Python, and/or R; experienced with data visualization tools such as Tableau or Power BI.
• Familiarity working with campaign data, funnel metrics, and customer behavioral data, comfortable performing attribution and funnel analyses.
• Experience dissecting retention, churn, repeat customer behavior, and insights from loyalty or subscription/membership programs.
• Strong analytical and problem-solving abilities adept at extracting insights from large and complex marketing datasets.
• Effective communicator able to translate complex analysis into straightforward recommendations for non-technical marketing teams.
• Keen attention to detail ensuring data accuracy and error correction.
• Proven ability to work autonomously, prioritize tasks efficiently, and meet deadlines within fast-paced, campaign-driven environments.
• Excellent collaboration skills to work within diverse, cross-disciplinary teams.

Additional Preferred Experience

• Background in food delivery, quick commerce, or super app consumer businesses.
• Knowledge of digital marketing platforms (Google Ads, Meta, TikTok, Apple Search Ads) and mobile measurement partners like AppsFlyer or Adjust.
• Expertise in causal analytics including incrementality testing, geo experiments, and accurately measuring campaign impacts beyond correlation.
• Experience modeling unit economics at the customer level for marketing metrics (CAC, payback period, contribution margin, LTV) aggregated across various dimensions.
• Familiarity with measuring loyalty and subscription program economics including liabilities, redemption costs, subscriber contribution margin, and cannibalization effects.
• Competence with customer segmentation methods, RFM analysis, churn prediction, and lifecycle marketing metrics.
• Exposure to marketing mix modeling, multi-touch attribution, and foundational data engineering concepts.
• Awareness of machine learning techniques with contributions to predictive models like LTV prediction, churn scoring, or propensity modeling.

About the Company

Snoonu is Qatar’s innovative Super App delivering rapid delivery, shopping, and more in a single platform. Driven by technology and a global team, Snoonu aims to simplify daily life and propel regional innovation through technology and community focus.

Values & Culture

• Prioritize customers always.
• Maintain integrity and trustworthiness in all actions.
• Encourage curiosity and creativity to innovate lasting impacts.
• Lead by example and take ownership of work.
• Focus on efficiency and delivering impactful results.
• Promote teamwork and inclusivity.
• Convert ideas and plans into tangible actions and products.

Benefits & Work Environment

• Work with a global, diverse team.
• Access to learning budgets and professional growth resources.
• Autonomy to manage your own projects and career path.
• Flexible paid time off and wellness policies to recharge.
• Agile working practices throughout the organization.
• Recognition as a Great Place to Work® certified company.
• ISO 9001:2015 and ISO 45001:2018 certified for quality and workplace safety.
• Commitment to sustainable business and community giving.
• Strong dedication to diversity, equity, and inclusion ensuring a welcoming workplace.

How to Join

Become part of a team empowered to innovate and make impactful contributions. Apply now to help build the future together.