Opportunity Description
Key Responsibilities
Extract and analyze large volumes of transactional data from Amazon Redshift databases, including both header and detail-level transaction records for restaurant locations.
Develop and maintain SAS programs to retrieve data for selected stores, products, pricing scenarios, and business channels.
Perform monthly, weekly, and ad-hoc Quality Control (QC) validations on Price Mix reporting processes to ensure data accuracy, completeness, and consistency.
Conduct data reconciliation between source systems, Redshift tables, and downstream reporting outputs.
Calculate and validate key business metrics, including:
Weighted Average Price (WAP)
Mean (Average) Price
Mode Price
Net Sales
Gross Sales
Guest Counts
Units Sold
Channel-Level Performance Metrics
Store-Level Performance Metrics
Analyze pricing trends, promotional impacts, and product mix performance across stores and sales channels.
Build SAS-based reporting datasets an...
Extract and analyze large volumes of transactional data from Amazon Redshift databases, including both header and detail-level transaction records for restaurant locations.
Develop and maintain SAS programs to retrieve data for selected stores, products, pricing scenarios, and business channels.
Perform monthly, weekly, and ad-hoc Quality Control (QC) validations on Price Mix reporting processes to ensure data accuracy, completeness, and consistency.
Conduct data reconciliation between source systems, Redshift tables, and downstream reporting outputs.
Calculate and validate key business metrics, including:
Weighted Average Price (WAP)
Mean (Average) Price
Mode Price
Net Sales
Gross Sales
Guest Counts
Units Sold
Channel-Level Performance Metrics
Store-Level Performance Metrics
Analyze pricing trends, promotional impacts, and product mix performance across stores and sales channels.
Build SAS-based reporting datasets an...