Business Intelligence Lead - Marketing Analytics

Overview

Join Snoonu in Doha as a Business Intelligence Lead focused on marketing analytics. This role involves collaborating closely with marketing managers, growth, CRM teams, data scientists, product managers, and business stakeholders to convert marketing and customer data into actionable strategies that enhance customer acquisition, engagement, and retention.

Key Responsibilities

• Work cross-functionally with performance marketing, CRM, brand, product, and engineering teams to drive data-driven solutions that optimize marketing efficiency and customer retention.
• Define, track, and report on critical marketing KPIs such as Customer Acquisition Cost (CAC), Return On Ad Spend (ROAS), conversion and activation rates, retention, churn, Customer Lifetime Value, and loyalty/subscription program metrics.
• Analyze complex marketing and customer datasets using statistical methods to offer clear, actionable insights to stakeholders.
• Identify points of leakage and drop-off throughout the customer funnel, from awareness to repeat purchase, and suggest targeted improvements.
• Manage reporting for retention and churn metrics, including cohort analysis, churn drivers, win-back campaigns, and early warning indicators for at-risk customers.
• Lead the analytics for loyalty and subscription programs covering enrollment, engagement, redemption, renewal, cancellation, customer economics, and ROI.
• Evaluate campaign and promotion effectiveness, support marketing budget allocation, and perform incrementality analysis to ensure growth-driving spend.
• Segment customers and conduct cohort-level performance studies to guide targeting, personalization, and lifecycle marketing strategies.
• Create and maintain dashboards that provide real-time and historical marketing performance visibility.
• Keep abreast of advancements in marketing analytics, attribution, and growth measurement to maintain competitive capabilities.
• Identify opportunities for growth initiatives, guide team projects, and mentor junior analysts in a collaborative setting.

Candidate Profile

• Bachelor's or master's degree in Data Science, Statistics, Mathematics, Economics, Marketing Analytics, Computer Science, or related fields.
• A minimum of 5 years experience in marketing, growth, or customer analytics, ideally within dynamic e-commerce, marketplace, or consumer app environments.
• Proficiency in SQL, Python, and/or R, paired with experience using data visualization platforms like Tableau or Power BI.
• Experience handling campaign, funnel, and customer behavioral data (impressions, clicks, installs, sessions, orders, cohorts) and comfort with attribution and funnel analysis methodologies.
• Skill in analyzing retention, churn, and repeat purchase behaviors, especially regarding loyalty, rewards, or subscription/membership programs.
• Strong analytical and problem-solving capabilities, proficient in deriving insights from complex marketing datasets.
• Exceptional communication to translate analytical findings into understandable strategic recommendations for non-technical marketing teams.
• Attention to detail and data accuracy with the ability to detect and fix errors.
• Self-motivated with excellent prioritization skills and capability to meet deadlines in a fast-moving, campaign-centered environment.
• Collaborative approach to work effectively in diverse, cross-functional teams.

Additional Asset Skills

• Experience in food delivery, quick commerce, or consumer super app sectors.
• Knowledge of digital marketing platforms (Google Ads, Meta, TikTok, Apple Search Ads) and Mobile Measurement Partners such as AppsFlyer or Adjust.
• Expertise in causal analytics methods including incrementality tests and geo experiments.
• Competence in calculating and modeling marketing unit economics (CAC, payback, contribution margins, LTV) across various dimensions.
• Understanding the economics and incremental impact of loyalty and subscription programs (points liability, redemption cost, contribution margins, cannibalization vs. genuine frequency uplift).
• Familiarity with customer segmentation techniques, RFM analysis, churn prediction, lifecycle marketing measurement.
• Exposure to marketing mix modeling, multi-touch attribution, and foundational data engineering concepts.
• Experience with machine learning applications for predictive modeling such as LTV, churn scoring, and propensity models.

About Snoonu

Snoonu is Qatar's pioneering Super App offering fast delivery, shopping, and more, seamlessly integrated into daily life. We focus on innovation, quality, integrity, and teamwork. Our culture is certified as a Great Place to Work®, marking a supportive and inclusive workplace with global ambitions to transform regional lifestyles through technology.

Work Benefits

• Collaborate within an international and diverse team environment.
• Access learning budgets and growth resources.
• Encouraged autonomy in task and career ownership.
• Flexible and generous time-off and wellness programs.
• Agile workflows ingrained in operations and product management.
• Recognized certifications for workplace quality and safety (ISO 9001:2015, ISO 45001:2018).
• Community engagement and sustainability initiatives embedded in corporate responsibility.
• Commitment to diversity, equity, and inclusiveness regardless of background.

Join Us

Apply to be part of a forward-thinking team where your contributions make a tangible impact. Together, we innovate and build the future of daily convenience.