Responsibilities

• Select, implement, and own the marketing attribution and reporting platform, evaluating solutions such as Marketing Cloud Intelligence while leveraging NeoGenomics' existing Salesforce and Marketing Cloud investments.
• Establish and maintain data quality standards for marketing reporting, including campaign tagging, UTM parameters, and channel definitions. Proactively identify and resolve gaps before they undermine trust in reporting.
• Build and maintain dashboards that connect marketing spend to leads, MQLs, SQLs, and pipeline contribution, providing visibility into performance across teams.
• Translate data findings into clear, actionable recommendations regarding where to increase investment, optimize resources, or adjust strategy.
• Partner with the Director of Marketing Operations and Commercial Enablement to ensure marketing data remains aligned with commercial KPIs and business objectives.
• Monitor the organization's progress toward developing the data volume, consistency, and historical benchmarks required to support future marketing mix modeling initiatives.
• Advise leadership on readiness, implementation options, and potential partnerships related to marketing mix modeling capabilities.
• Continuously evaluate and adopt more efficient analytics tools and best practices, including AI-enabled technologies, to improve reporting accuracy, productivity, and business insights.

Requirements

• Bachelor's degree required; Master's degree preferred.
• Minimum of 8 years of experience in marketing analytics, marketing reporting, or marketing technology (MarTech), including hands-on experience with attribution platforms and Salesforce data.
• Demonstrated success selecting, implementing, and managing marketing attribution or analytics platforms.
• Proven ability to identify and resolve data quality challenges, including inconsistent campaign tagging, broken UTM tracking, and misaligned channel definitions.
• Strong ability to transform complex data into clear, actionable business recommendations rather than simply reporting metrics.
• Experience querying data directly using SQL or similar tools to answer business questions and diagnose data quality issues.
• Working knowledge of Customer Data Platform (CDP) concepts and the ability to translate business requirements into accurate data specifications.
• Familiarity with marketing mix modeling principles and data requirements, including the ability to advise stakeholders on organizational readiness and potential implementation options.
• Comfortable evaluating and adopting emerging analytics tools and practices, including AI-enabled technologies, to drive efficiency and innovation.
• Travel Requirements: Ability to travel as required for the role, up to 15% of the time, primarily for internal meetings and occasional conferences.

Preferred

• Master's degree preferred

Benefits

• competitively priced health plan options, including HMO and PPO
• tuition reimbursement
• Leadership development programs
• wellness initiatives
• highly engaged employee resource groups
• Employees start with 16 days of paid time off, plus company holidays
• company-matched 401(k), and an Employee Stock Purchase Program