BI Lead - Marketing

Opportunity Overview

Join an innovative super app company as a Marketing BI Lead where you'll work alongside marketing managers, growth and CRM teams, data scientists, product managers, and business stakeholders in a collaborative environment. Your key responsibility is to transform marketing and customer data into actionable insights that enhance customer acquisition, engagement, and retention. You'll manage key marketing metrics across the customer journey—from acquisition costs to customer lifetime value—and evaluate loyalty and subscription programs to optimize marketing efficiency and profitability.

Key Responsibilities

• Partner with teams across performance marketing, CRM, brand, product, and engineering to develop data-driven strategies that boost acquisition efficiency, engagement, and customer retention.
• Define, track, and report essential marketing KPIs such as customer acquisition cost (CAC), return on ad spend (ROAS), conversion and activation rates, retention, churn, and loyalty/subscription metrics.
• Analyze complex datasets using statistical tools to produce clear insights for stakeholders.
• Diagnose funnel leakages throughout stages including awareness, install, registration, first order, repeat purchase, and retention, recommending improvements.
• Lead analysis on retention and churn, tracking cohort behavior, churn causes, win-back initiatives, and early warning signals for customers at risk.
• Manage analytics for loyalty and subscription programs, covering enrollment, engagement, redemption, renewal/cancellation, financials, and ROI.
• Assess campaign and promotion effectiveness, guide budget allocations by channel, and evaluate spending incrementality to concentrate on growth drivers.
• Segment customers and analyze cohort-level performance to support targeting, personalization, and lifecycle marketing strategies.
• Create and maintain dashboards and visual reports providing real-time and historical marketing performance visibility.
• Keep abreast of trends in marketing analytics, attribution, and growth measurement to enhance capabilities.
• Identify growth opportunities, guide complex initiatives, and mentor junior analysts in a collaborative setting.

Required Qualifications and Skills

• Bachelor's or master's degree in data science, statistics, mathematics, economics, marketing analytics, computer science, or related fields.
• Minimum of 5 years experience in marketing, growth, or customer analytics preferably within fast-paced e-commerce, marketplace, or consumer app sectors.
• Proficient in SQL and at least one programming language such as Python or R; experienced with visualization tools like Tableau or Power BI.
• Expertise working with campaign, funnel, and behavioral data (impressions, clicks, installs, sessions, orders, cohorts) and familiarity with attribution and funnel analysis.
• Strong analytical skills particularly in retention, churn, repeat behavior, and knowledge of loyalty, rewards, or subscription/membership programs.
• Excellent problem-solving aptitude to extract actionable insights from large and complex marketing datasets.
• Clear communicator capable of translating technical data into understandable recommendations for marketing teams.
• Meticulous attention to data accuracy and error correction.
• Ability to work independently, multitask, and deliver under tight timelines in a dynamic environment.
• Proven collaboration skills in diverse and cross-functional teams.

Preferred Additional Expertise

• Experience in food delivery, quick commerce, or consumer super app industries.
• Knowledge of digital marketing platforms (Google Ads, Meta, TikTok, Apple Search Ads) and Mobile Measurement Partners like AppsFlyer or Adjust.
• Strong understanding of causal analytics including incrementality testing, geo experiments, and campaign impact evaluation.
• Skills in modeling marketing unit economics (CAC, payback period, contribution margin, LTV) aggregated by cohorts, channels, or time.
• Measurement experience for loyalty and subscription program economics including points liability, redemption cost, subscriber margin, and cannibalization effects.
• Familiarity with customer segmentation, RFM analysis, churn prediction, and lifecycle marketing metrics.
• Exposure to marketing mix modeling, multi-touch attribution frameworks, and basics of data pipelines and engineering.
• Background in machine learning techniques supporting predictive models such as LTV prediction and churn scoring.

Company Culture and Values

Snoonu is Qatar’s native Super App aiming to innovate and simplify everyday life by combining delivery, shopping, and other services. The company operates with global ambitions, emphasizing customer obsession, integrity, creativity, ownership, smart work, people-centric teamwork, and proactive product delivery. Certified as a Great Place to Work® and ISO 9001:2015 & ISO 45001:2018 accredited, Snoonu values a culture of inclusion, ethics, learning, autonomy, flexibility, and social responsibility.

Benefits and Work Environment

• Collaboration with a global team spanning various locations.
• Access to learning resources including educational budgets and courses.
• Autonomy that empowers ownership of tasks and projects.
• Flexible leave and wellness policies supporting personal recharge.
• Agile work methodologies implemented company-wide.
• Strong focus on sustainable business practices and community engagement.

Additional Information

This role is full-time and based onsite in Doha, Qatar. Prospective applicants seeking to contribute to a transformative marketing analytics function within a technologically driven enterprise are encouraged to apply and join a team shaping the future of consumer experiences in the region.