Highly motivated and detail-oriented Business Analyst and Executive Assistant with 6 Years of experience in supporting business operations, finance, product management, and marketing for fashion industry. Proven track record of delivering data-driven insights, optimizing processes, and facilitating effective decision-making for senior leadership and ensuring seamless communication between cross-functional teams.
Overview
7
7
years of professional experience
Work History
RETAIL ANALYST & EXECUTIVE ASSISTANT TO BUSINESS HEAD
LANDMARK GROUP
Riyadh
12.2022 - 03.2025
Collaborated with Business Head to drive operational efficiencies and multiple strategic initiatives
Headed MIS team and analyzed retail data, including sales trends, inventory levels, and market insights, to provide actionable recommendations for business growth
Worked with finance team to track financial reports, budgets, and forecasts to ensure alignment with organizational goals
Coordinated product development activities, ensuring timely launches and alignment with market trends
Supported marketing campaigns by analyzing performance metrics and providing insights for optimization
Managed executive-level tasks for BU Head, including meeting coordination, communication flow, and stakeholder management
Successfully implemented data-driven inventory management system, reducing overstock by 20%
Spearheaded project on bill penetration, leading to 3% increase in UPT and 4% in ATV in pilot stores
Enhanced communication and reporting frameworks, improving team productivity and delivering sales growth of 4%
ASSISTANT MANAGER / BUSINESS ANALYST
PUMA Group
01.2020 - 01.2022
Created recommendation engine that helped brand nudge customers by providing decisions on - Product Recommendations, Offer Selections etc
Through in-depth analysis on customer data
The recommendation model picked most optimized combination of products, categories, and price band for each customer, thereby creating various customer segments
37 test campaigns for a period of three months was executed for different customer segments created by the recommender, which resulted in an incremental lift of 130% in revenue
Maintained the data engine to ensure accurate and efficient development of Single View of Consumer
Managed mixed team of 4 members which included independent contractors and full-time employees dedicated to marketing, data management, and content strategy
Identified and generated consumer insights using Random Forest Model with an accuracy of 81% to develop use cases for Brand Marketing, efficient targeting and improving ongoing campaigns
Generated recurring performance reports on Power BI and collaborated with internal stakeholders to deliver business insights
TRAINEE DECISION SCIENTIST
Mu Sigma Business Solutions
01.2018 - 01.2020
Organized huge data sets effectively via advanced querying, visualization, and analytics tools, dealt with diverse problems throughout the project journey ranging from data scarcity to data integration
A key role in generating USD 1.4 million in revenue every year by preparing data sets & creating dashboards to boost sales
A score was generated by building a random forest model with an accuracy of ~78% which was a combination of data science's intelligence and mathematical model's explain ability
It helped the client mitigate the risk by identifying key factors contributing to risk of failing in a inspection by leveraging signals collected from different customer touch points
Completed in-depth analyses for business-optimization projects, reporting tools, back-office programs