Job Description
Company Description
MaxAB is the fastest-growing B2B business in the retail industry in Egypt. Established in 2018 as an E-commerce platform allowing local underserved merchants and mom-and-pop shops in Egypt and Morocco to grow, increase their revenues, and enhance their own quality of life. MaxAB strives to empower retailers who want to maximize their revenues. In addition to its e-commerce services, MaxAB introduced MaxAB Cash in 2021. MaxAB Cash is a fintech service that enables local merchants to accept payments for various services that their end customers may require. This feature allows retailers to offer a more comprehensive shopping experience to their customers by facilitating secure and convenient payment transactions. Driven by our merchant-obsessed mindset and our sense of social responsibility, we are working our way to achieving sustainable development goals while creating a socially responsible business that makes the world a better place where everyone can be included.
About the Role:
Serve as the analytical backbone for a product area within the data team. Translate data into confident, measurable product decisions by upholding statistical quality and defining the metrics that matter.
What You'll Do :
● Opportunity Sizing: Build funnels, cohorts, and diagnostic views to quantify the size and value of product opportunities.
● Experimentation: Design and analyze A/B, A/B/n, and multivariate tests.
● Causal Analysis: Apply causal methods to accurately measure impact when randomized testing is not feasible.
● Recommendations Deployment: experience with API methods
● Decision Driving: Synthesize complex data into concise reports recommending Launch, Improve, or Stop for product features.
● Stakeholder Management & Storytelling: Own the relationship with cross-functional partners (Product, Engineering, Leadership) by packaging complex analysis into clear, compelling narratives and visualizations that mandate action.
● Data Integrity: Ensure data accuracy, quality, and statistical trustworthiness for all product performance metrics. Technical Requirements
● Coding: Expert SQL for data extraction; proficiency in Python for analysis, modeling, and diagnostics.
● Statistics: Deep, practical knowledge of experimental statistics, including confidence intervals, hypothesis testing, and power/sensitivity analysis.
● BI Tools: Experience with major BI platforms (e.g., Tableau) for visualization and reporting. Candidate Qualifications
● Experience: Minimum 2 years of product/growth analytics experience, focused on driving tangible product decisions.
● Communication: Superior ability to translate technical findings into persuasive, actionable business recommendations.
Nice to Have
● Regression Modeling experience.
● Familiarity with Clustering or Time Series Forecasting.
● Quantitative degree (Computer Science, Statistics, or similar). Statistics, or similar).
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