• Job Title: Manager, Marketing Analytics
• *
• Role Description:

BBQGuys is looking for a Manager, Marketing Analytics, to be the analytical engine behind our performance marketing team. This is not a reporting-and-dashboards role, it’s a decision-enablement role. You will translate complex, multi-source marketing data into clear insights that drive channel investment, improve attribution accuracy, and connect media performance to revenue outcomes.

You will sit within the CAMP (Customer Acquisition, Performance Marketing) team, partnering closely with channel managers across paid search, paid social, email/SMS, SEO, affiliates, display, and Amazon. You will also serve as the primary marketing stakeholder for our Enterprise Data team, ensuring the analytics infrastructure we build serves marketing decision-making needs. This role operates at the intersection of marketing strategy and data infrastructure. You’ll need to be fluent in both worlds and must be able to work with engineers on data pipeline questions in the morning and present channel investment recommendations to marketing leadership in the afternoon.

You will report directly to the Senior Director, Performance Marketing and maintain a dotted-line relationship with the Enterprise Data Team to ensure alignment on data infrastructure and governance. This is a single contributor manager role, without any direct reports (to start), but will be managing processes and systems

What You’ll Own:

Marketing Analytics Source of Truth

• Serve as primary owner and steward of marketing analytics data, including Adobe Analytics, AdBeacon (MTA), Invoca (call/offline attribution), and MMM.
• Own QA of channel and evar assignments; advocate for correct attribution model configuration.
• Lead data validation and cross-platform reconciliation across marketing analytics tools.

Insight & Reporting

• Build and maintain cross-channel performance dashboards in Looker Studio and/or Power BI, designed for channel manager use.
• Translate MTA data into actionable cross-channel recommendations.
• Translate customer intelligence data into key reporting and insights: New vs. Returning segmentation, LTV/RFM analysis, CAC dashboards.
• Lead weekly and seasonal performance analysis to support in-season decision-making.

Strategic Analytics Initiatives

• Lead the business case development and implementation for Adobe Customer Journey Analytics (CJA).
• Build the business case for Marketing Mix Modeling (MMM) and serve as primary marketing stakeholder through vendor evaluation and implementation.
• Identify opportunities to streamline cross-channel reporting and reduce manual analytics lift for the team.
• Partner with Enterprise Data to advocate for marketing’s data infrastructure needs without owning infrastructure directly.

Team Enablement

• Lead analytics training and upskilling for CAMP team members.
• Serve as the internal expert on data interpretation, helping channel managers ask better questions and act on data faster.

Education and/or Experience:

Required

• Minimum of 5 years of experience in marketing/media analytics.
• Retail or e-commerce background (2+ years).
• Enterprise web analytics expertise. Not just functional familiarity, but hands-on experience navigating custom implementations, evar/channel configurations, and data quality issues. Adobe Analytics strongly preferred.
• Working knowledge of multi-touch attribution (MTA) platforms.
• Strong command of reporting and data visualization tools (Looker Studio, Power BI).
• Familiarity with data aggregation and pipeline tools such as Supermetrics (Google Sheets and API Studio) or similar.
• SQL proficiency or equivalent query language; comfortable exploring and QA-ing data independently.
• Demonstrated ability to translate complex data into clear, action-oriented recommendations for non-technical audiences.
• Experience operating in a cross-functional environment with both technical (data/engineering) and non-technical (marketing) partners.

Preferred

• Familiarity with AI-assisted analytics workflows — e.g., using LLMs for insight synthesis, anomaly investigation, or connecting data platforms (such as Supermetrics) to AI tools for accelerated reporting.
• Familiarity with Marketing Mix Modeling (MMM) concepts and vendor landscape.
• Experience with customer segmentation and LTV/RFM modeling.
• CJA experience a plus.
• B2B/Lead Gen experience a plus.
• Experience in enthusiast markets, home improvement, or niche DTC retail.
• Understanding of consent management and downstream analytics implications (CCPA, Google Consent Mode, etc.).
• Comfort working wi