Data Audit & Validation

• Perform daily cross-checks between internal pricing data and scraped competitor prices.

• Identify discrepancies in product matching, unit conversions, and promotional mechanics.

• Ensure data accuracy before it is used for pricing decisions.

Data Quality & Cleaning

• Detect and correct data issues such as incorrect SKU mappings, unit mismatches, outlier prices, and scraper errors.

• Maintain clear product matching and validation standards.

Competitive Gap Analysis

• Analyze pricing gaps versus competitors and highlight significant deviations.

• Summarize key findings and trends for management review.

Process Improvement

• Develop Excel-based or simple script-based tools to streamline comparisons.

• Improve audit efficiency and support enhancements to scraper accuracy.

Cross-Functional Collaboration

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