We are seeking a high-firepower Senior Analytics Manager to architect complex data pipelines, build custom attribution models, and lead technical strategy for our largest Enterprise-level client portfolios. In this heavy-engineering role, you will move far beyond off-the-shelf software, writing custom code and deploying tailored Media Mix Modeling (MMM) frameworks to accurately map omni-channel customer journeys.
Role Overview
As our Senior Analytics Manager, you will bring elite technical firepower to solve the most complex attribution, tracking, and backend data flow challenges for high-scale brands. You are equal parts data architect and client-facing strategist, capable of mapping server-side routing architectures, building custom algorithmic models from scratch, and confidently explaining those technical backends to enterprise executives. You will serve as the final line of technical defense, ensuring absolute data integrity across complex, multi-million dollar ad spend portfolios.
Core Responsibilities
Custom Modeling & MMM: Build, program, tune, and maintain custom Media Mix Modeling (MMM) frameworks and data-driven attribution systems from scratch rather than relying solely on packaged SaaS platforms.
Advanced Tracking Architecture: Design and deploy sophisticated tracking systems, including advanced Google Analytics 4 (GA4) custom configurations, custom GTM Server-Side networks, and hard-coded Conversions API (CAPI) integrations.
Enterprise Pipeline Engineering: Map, audit, and engineer robust data pipelines from complex client website backends (headless commerce setups, custom ERPs, large Shopify builds) through data lakes to downstream ad ecosystems.
High-Stakes Client Consultation: Lead high-level technical consultation for enterprise clients, translating custom data modeling math, regression analyses, and complex data leakages into clear business-critical strategies.
Technical Root-Cause QA: Serve as the ultimate escalation point for tracking failures, browser privacy updates (ATT/Sandbox), and api breaks, debugging code bases and site backends alongside development teams.
Qualifications & Requirements
Agency Experience (Strictly Required): 5+ years of dedicated marketing analytics or data operations experience, with a proven track record handling large, multi-million dollar complex client portfolios inside an agency environment.
Mathematical & Custom Coding Acumen: High-level proficiency in SQL, Python, or R to extract data, handle statistical regression, and build custom multi-touch attribution (MTA) or media mix models.
Infrastructure Mastery: Expert-level knowledge of data warehousing (BigQuery, Snowflake), server-side tagging infrastructure, API data flow, and modern cloud architecture basics.
Executive Communication: Exceptional ability to clearly articulate deeply technical concepts, data engineering methodologies, and statistical modeling limitations to non-technical client stakeholders.
Location: Hybrid North County San Diego agency hub.
Numbers & Facts
Location
San Diego, California
Skills
Algorithmsunmatched
Application Programming Interface (API)unmatched
Business Strategyunmatched
Cloud Architectureunmatched
Communication Skillsunmatched
Computer Securityunmatched
Custom Mediaunmatched
Customer Relationsunmatched
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Warehousingunmatched
DataArchitect Data Modeling Toolunmatched
Debugging Skillsunmatched
Ecosystemsunmatched
Google Analyticsunmatched
Internet Privacyunmatched
MTAunmatched
Marketingunmatched
Mathematicsunmatched
Operational Auditunmatched
Python Programming/Scripting Languageunmatched
Quality Assuranceunmatched
R Programming Languageunmatched
SQL (Structured Query Language)unmatched
Snowflake Schemaunmatched
Software as a Service (SaaS)unmatched
Statistical Modelingunmatched
Statisticsunmatched
Technical Leadershipunmatched
Technical Strategyunmatched
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