Senior Data Analyst

ملخص الوظيفة

Overview & Context

This role is central to our data-driven strategy, empowering our agency to scale brands 
successfully on Amazon and other key marketplaces

Responsible for gathering, integrating, and analyzing data that informs strategic 
decisions—helping to launch products effectively, understand competitor dynamics, 
and identify market opportunities

A proactive, innovative mindset is key, with a willingness to leverage and adopt AI
driven analytics tools to enhance our data processes

سجل الآن!

Key Responsibilities

Data Collection & Integration: Extract and consolidate data from multiple sources, including Amazon Seller/Vendor Central, third-party tools, and internal systems
Ensure data quality through robust cleaning and standardization processes

Market & Competitor Analysis: Conduct in-depth analysis of brand performance, product launches, and competitor strategies across Amazon and other marketplaces (e.g., Jumia, Walmart Europe)
Identify trends and insights that inform strategic decisions for scaling brands and launching new products

Analytics, Reporting & Forecasting: Develop dynamic dashboards and reports using tools like Power BI, Tableau, or Excel to monitor key performance indicators. 
Create forecasting models and perform trend analyses

Strategic Insights & Recommendations: Translate complex data into clear, actionable recommendations to support business growth, product launches, and marketing strategies
Collaborate with cross-functional teams (account management, advertising, 
creative, and SEO) to ensure that data insights drive operational and strategic 
improvements

AI Integration & Continuous Improvement:  Evaluate and integrate AI-driven tools and methodologies into data analysis processes for enhanced reporting accuracy and speed
Stay updated on the latest trends in data science and e-commerce analytics, 
bringing innovative solutions to the table

Key Qualifications
Minimum 4+ years in e-commerce analytics or related fields
Advanced proficiency in BI tools and data visualization
Open to leveraging and learning AI-driven analytical tools; prior experience is a plus
Ability to communicate complex insights effectively to non-technical stakeholders