Senior Marketing Analyst – Data‑Driven Budget & LTV Modeling

About the role

This senior analytical role focuses on improving marketing performance and enabling smarter, data‑driven investment decisions. Based in Nigeria, you will shape the logic behind marketing budget allocation across products, channels, and traffic sources, and develop early LTV models and AI‑powered analytics tools.

Key responsibilities

• Design the high‑level logic, rules, and models used to allocate marketing budgets across products and traffic sources, validate the approach, and prepare it for automation.
• Develop and validate Early LTV metrics and models to support intra‑week performance marketing decisions and dynamic budget allocation.
• Build analytical frameworks and tools for performance diagnostics, identifying drivers, growth opportunities, and anomalies across products, channels, and campaigns.
• Contribute to the development of an internal AI‑based analytics tool focused on performance analysis, root‑cause detection, and opportunity discovery.
• Support the unified BI layer through metric definition, data validation, and selected analytical use cases.
• Translate analytical findings into actionable business rules, recommendations, and decision‑making models.

Required profile

• Experience with A/B testing, experimentation, and statistical analysis.
• Strong SQL skills for working with large datasets, developing complex queries, and validating data quality.
• Solid understanding of performance marketing economics and key metrics such as LTV, CAC/CPA, ROI/ROAS, conversion funnels, cohorts, and attribution.
• Ability to develop decision‑making models and communicate findings through clear, practical recommendations.
• Proficiency with Google Sheets and/or Excel.
• Experience with BI tools such as Superset, Tableau, or Power BI.
• English proficiency at B2 level or above.
• Experience with Python for data analysis and modeling is a strong advantage.

Required skills

• SQL
• Python
• Google Sheets
• Excel
• Superset
• Tableau
• Power BI

What we offer

• Fully remote, full‑time opportunity.
• Initial pay level shared with candidates during recruitment.
• 28 vacation days per year plus 7 wellness days.
• Referral bonuses up to $5,000.
• 50 % reimbursement for professional training, conferences, and meetings.
• Corporate discounts for English lessons.
• Health benefits reimbursement up to $1,000 per year.
• Equipment and coworking space reimbursement up to $1,000 every three years.
• Gamified internal recognition system with various rewards.