Data analyst with 2+ years of experience working in data cleaning, visualization, excel and social media for non profit organizations.
Handling Transactions: The primary responsibility of a cashier is to manage transactions. This involves operating cash registers, processing payments (cash, credit/debit cards, checks), giving correct change, and issuing receipts.
Customer Service: Providing excellent customer service is a key part of a cashier's role. This includes greeting customers, answering questions, assisting with locating products, and resolving any complaints or issues that arise at the point of sale.
Maintaining Accuracy: Cashiers must ensure accuracy in all transactions. This involves counting money in cash drawers at the beginning and end of shifts to ensure amounts are correct and there's adequate change.
Product Knowledge: They should have good knowledge of the products or services offered by the business to effectively answer customer queries or guide them in their purchases.
Promoting Sales: Cashiers often inform customers about current promotions, loyalty programs, or special sales.
Cleanliness and Organization: Keeping the checkout area neat and well-organized is also part of their job. This can include stocking bags, cleaning the register area, and organizing displays near the checkout.
Handling Returns and Exchanges: Processing returns and exchanges in line with the store's policies, ensuring that the items are in resalable condition, and managing the related paperwork.
Compliance with Procedures and Policies: Adhering to all company procedures and policies related to cash handling, customer service, and store security.
Defined and developed executive level data management metrics across all business areas to create comparability across the church.
Built the Data Management Tableau dashboards for the church with a focus on ownership and data quality to highlight the gap in ownership and data quality profiling.
Led the work involving data/business analysts to enhance the capabilities and functionalities of the church’s strategic tool to capture metadata and leads, focusing on all aspects of data management from lineage, through data quality profiling, to remediation.
Developed a workflow tracking solution to capture incoming lineage, modeling, data quality profiling and remediation work items using Planview, and visualized the information using dynamic Tableau dashboards to help highlight backlog items and priorities.
Currently developing a sophisticated NBA match outcome prediction system with an 87% accuracy rate.
The predictive model employs a pattern recognition strategy analyzing numerical patterns derived from multiple data sources within the NBA ecosystem.
Uses Microsoft Excel, SQL and Tableau.
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