Junaid Harris

Analyzed large-scale datasets using SQL and Python to identify trends, optimize inventory allocation, and support strategic product planning across seven US retail categories

Developed automated data processing solutions using Python and Excel VBA that reduced manual processing time by 40%, improving operational efficiency and data accuracy

Created comprehensive data models and reporting frameworks supporting volume forecasting, production quota alignment, and market analysis for stakeholders
Built interactive dashboards and visualization tools using advanced Excel to provide real-time insights for senior management decision-making
Collaborated with global data teams to resolve data quality issues, implement standardized reporting processes, and optimize data workflows
Awarded Top Performer (2019, 2021, 2023) and Best Automation Tool Award for innovative data solutions

Developed Power BI dashboards for weekly logistics reviews, enabling tracking of utilisation rates, freight costs, and operational metrics

Conducted SQL analysis to enhance 3D packing model optimisation and improve freight efficiency

Performed cost analysis to inform decisions on packaging standards and logistics strategies

Collaborated with cross-functional teams to translate business requirements into analytical outputs

Facilitated data collection, trend analysis, and business intelligence reporting to inform strategic decisions

Designed Power BI dashboards and visual reports to support leadership decision-making

Mapped data workflows and reporting processes to enhance operational efficiency

Operated point-of-sale system for efficient transactions and returns, improving customer experience.

Handled customer inquiries and resolved issues to ensure satisfaction.

Maintained visual merchandising standards to create engaging product displays that attracted customer interest.

Monitored sales performance against management targets to identify areas for improvement and drive sales growth.

Organized displays to improve product visibility and customer engagement.

Restocked inventory and optimized floor layout in collaboration with team members.

Ticketed items with pricing and markdowns and restocked sales floor according to merchandising plan.

Guided customers in choosing clothing and accessories that matched their preferences.