Responsibilities

• Own end‑to‑end data execution for direct mail campaigns and serve as a backup to the Director of Marketing Operations.
• Document and maintain operational and data requirements for direct mail campaigns, including new markets, products, suppressions, tests, and mail file elements.
• Translate campaign strategy and business requirements into actionable mail file execution across markets and segments.
• Allocate records using market‑level targets, volume expectations, test designs, and segmentation criteria.
• Leverage model outputs, segmentation, and scoring logic to support precise and consistent targeting.
• Develop, maintain, and communicate Mail Configuration documentation used as formal inputs for record selection.
• Build and update mail configuration files, segmentation codes, and schemas by campaign and touchpoint.
• Validate record selection throughout the process to ensure accuracy and expected distribution.
• Perform quality assurance checks to ensure proportional distribution across test and control groups, segments, model scores, and markets.
• Maintain test integrity by reconciling planned versus actual selections and documenting outcomes.

Requirements

• 5+ years of experience building, auditing, and troubleshooting complex spreadsheets and standardized reporting models.
• Strong analytical and critical-thinking skills with the ability to assess discrepancies and determine acceptable variance.
• Proven ability to translate complex data into clear business context for cross-functional partners.
• Advanced proficiency in Excel, including complex formulas, pivot tables, and data manipulation.
• Hands-on experience with data visualization tools (Looker preferred).
• SQL skills preferred for querying and validating data.
• Direct mail marketing experience required.
• Strong written and verbal communication skills with a high attention to detail.
• Bachelor’s degree in Marketing, Business, Computer Science, or a related field. Equivalent professional experience may be considered in lieu of a degree.

Preferred

• Looker data visualization experience (Looker preferred).
• SQL skills (preferred for querying and validating data).
• Hands-on experience with data visualization tools (Looker preferred).