Sr Manager Attribution and Analytics

Linqm • San Diego, CA

1d • Hybrid

About The Position

The Senior Analytics Manager will architect complex data pipelines, build custom attribution models, and lead technical strategy for enterprise client portfolios. This is a heavy-engineering role focused on custom code and tailored Media Mix Modeling (MMM) frameworks to map omnichannel customer journeys, rather than relying solely on off-the-shelf software.

The role combines data architecture with client-facing strategy. The Senior Analytics Manager will address complex attribution, tracking, and backend data-flow challenges; design server-side routing architectures; build custom algorithmic models; and explain technical systems to enterprise executives. This position serves as the final technical escalation point for data integrity across complex, multi-million-dollar ad-spend portfolios. It is based at a hybrid agency hub in North County San Diego.

Requirements

• At least 5 years of dedicated marketing analytics or data operations experience.
• A proven track record handling large, complex, multi-million-dollar client portfolios in an agency environment.
• High-level proficiency in SQL, Python, or R for data extraction, statistical regression, and building custom multi-touch attribution or media mix models.
• Expert-level knowledge of data warehousing, including BigQuery or Snowflake; server-side tagging infrastructure; API data flow; and modern cloud architecture basics.
• Exceptional ability to explain technical concepts, data engineering methodologies, and statistical modeling limitations to non-technical client stakeholders.

Responsibilities

• Build, program, tune, and maintain custom Media Mix Modeling (MMM) frameworks and data-driven attribution systems.
• Design and deploy tracking systems, including advanced Google Analytics 4 (GA4) configurations, custom Google Tag Manager (GTM) server-side networks, and hard-coded Conversions API (CAPI) integrations.
• Map, audit, and engineer data pipelines from complex client website backends—including headless commerce setups, custom ERPs, and large Shopify builds—through data lakes to downstream advertising ecosystems.
• Lead technical consultations for enterprise clients and translate data-modeling math, regression analyses, and data leakages into business strategies.
• Act as the ultimate escalation point for tracking failures, browser privacy updates, and API breaks; debug codebases and website backends with development teams.
• Ensure data integrity across complex, multi-million-dollar advertising-spend portfolios.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed