Senior Marketing Analyst

About the Role

We are representing a partner company based in the United Arab Emirates seeking a Senior Marketing Analyst. This advanced analytical position focuses on enhancing marketing effectiveness and supporting informed, data-centric investment decisions. The role involves designing the strategic logic for marketing budget distribution among different products, marketing channels, and traffic sources. It blends in-depth analytics, experimental design, marketing performance economics, and predictive modeling techniques.

You will be responsible for developing Early Lifetime Value (LTV) models and analytical systems that enable quick responses to shifts in marketing performance. Additionally, you will contribute to innovative AI-enhanced analytics projects aimed at identifying root causes, finding growth opportunities, and detecting anomalies. Working remotely within a global, distributed team, you'll translate complex datasets into actionable business strategies.

Key Responsibilities

• Formulate high-level methodologies, rules, and models for allocating marketing budgets across various products and traffic sources, validating these approaches and preparing them for automation.
• Create and verify Early LTV metrics and models to support intra-week decision-making in performance marketing and dynamic budget adjustments.
• Develop analytical frameworks and tools to diagnose performance, pinpoint drivers, uncover growth opportunities, and detect anomalies across products, marketing channels, and campaigns.
• Participate actively in building an internal AI-driven analytics tool targeting performance evaluation, root-cause analysis, and opportunity identification.
• Support the consolidated Business Intelligence layer by defining metrics, validating data, and contributing to specific analytical applications.
• Convert analytical results into practical business guidelines, recommendations, and decision-making models.

Required Skills and Qualifications

• Proven expertise in A/B testing, experimental design, and statistical analysis.
• Advanced proficiency in SQL, capable of handling large datasets, scripting complex queries, and verifying data integrity independently.
• Strong understanding of mathematical statistics and experimentation, including designing validation frameworks, backtesting, and interpreting results accurately.
• Comprehensive knowledge of performance marketing economics and metrics such as LTV, CAC/CPA, ROI/ROAS, conversion funnels, cohorts, and attribution models.
• Ability to build decision-making models and present analytic insights as actionable, clear recommendations.
• Expertise in spreadsheet tools like Google Sheets and/or Excel.
• Experience with BI platforms such as Superset, Tableau, or Power BI.
• English language proficiency at B2 level or higher.
• Experience in Python for data analysis and predictive modeling is highly advantageous.
• Background in forecasting, optimization, budget allocation models, Early or Predictive LTV, or use of AI/LLM-based analytics solutions is very valuable.

Benefits and Perks

• Remote, full-time employment opportunity.
• Salary details provided during the recruitment process prior to employment confirmation.
• 28 calendar days of vacation annually.
• 7 wellness leave days each year for personal matters, rest, or recovery without needing sick leave.
• Referral bonuses of up to $5,000 for successful candidate recommendations.
• 50% coverage of costs for professional training, international conferences, or relevant industry events.
• Corporate discounts for English language courses.
• Healthcare benefits include reimbursement up to $1,000 gross annually for personal health insurance or eligible medical expenses when corporate insurance is unavailable, extendable to close relatives.
• Workplace support including supplies and essentials for offices or coworking spaces; reimbursement up to $1,000 gross every three years for coworking fees or home office equipment like desks, chairs, or internet.
• An internal gamification system where employees can give bonuses redeemable for merchandise, team-building activities, massages, and more.
• An international, remote-first work environment engaging a diverse, global team.

Additional Information

The recruitment process is enhanced by AI-driven candidate matching to swiftly and fairly evaluate applications against role requirements. The final hiring decisions and subsequent stages including interviews and assessments are handled by the partner company directly. Personal data is processed with compliance to applicable privacy laws including GDPR. AI tools may be used to assist recruiting staff in application review and verification but decisions remain human-driven.