Melinda Schultz Email and Phone Number

Team based Analyst who often partnered across such departments as: Customer Service, Localization, and Blizzard Academy. Worked closely with both Data and System Engineers to develop insights into business operations.Responsibilities included, but not limited to:- Partner with analysts and engineers to provide support for strategic initiatives- Create meaningful data visualizations for project stakeholders- Use query and programming languages for data extraction and transformation- Leverage tools such as Tableau to deliver insights into key business metrics- Participate in and contribute to a culture of inclusion and diversity- Presented complex ideas and findings through data visualization and dynamic power points

Disney Store's keystone location, Glendale, was considered the center of excellence showcasing both talent and product for corporate partners across the company.- Led new initiatives for efficiency and sales; reduced payroll expenditures; increased yearly sales; and reduced reporting errors- Talent acquisition and retention; maintained a location of over 40 employees- Created focus on Health & Wellness initiatives for employees’ wellbeing during global health crisis- Sustained sales growth through strategically leveraging talent, extended cross training, and talent reassignment; supported subordinates through stretch assignments and training for future roles- Increased labor efficiencies and reduced labor costs by 25% by utilizing labor tracking through Excel and Kronos- Built strong clientele base through elevated talent performance, training, and problem solving; maintained year-over-year sales growth four years consecutively- Mapped sales trends and reallocating resources based on forecast analysis; ended fiscal quarter +1.2% in sales- Analyzed sales matrix identifying sales efficiencies; reached 20% increase in Black Friday 2016 & 2017- Utilized P+L reporting to increase store revenue by 11% while minimizing labor and inventory costs- Leveraged customer preferences by tracking and analyzing POS transactions- Translated statistical market trends into sound business decisions across multiple locations; then communicated consumer trends and sales data to management for shifts in promotional strategies- Reduced discrepancies in supply chain by reducing operational clerical errors, reduced shrink by 10% in 2016 to previous year; continued reduction following years - Combined supply chain logistics with historical sales data to maximize product during peak traffic; Achieved 12% increase over 2019 & 2020 sales amidst a traffic downtrend due to COVID-19- Used forecasting in purchase intent to maintain higher margin; margin was 8 points over cumulative

Data reduction through analyzing data sets and determining relevant points that were to be used in the main research. Our lab would receive raw data from Spitzer, where I would then compare potential light source readings to differentiate actual stars (keep) against reflected light (discard) to produce a more clean data set.