Marketing Analytics Manager

About the role

The Marketing Analytics Manager will own the end‑to‑end measurement, reporting and automation workflow for every client. This role combines ad operations, performance analytics and AI‑driven automation that many agencies split across several specialists.

Key responsibilities

• Set up and maintain tracking implementations (GA4, GTM web and server containers, Meta Pixel, Conversions API, Google Ads Enhanced Conversions, TikTok Events API, LinkedIn Insight Tag).
• Define and enforce a global UTM taxonomy, build data layers and event schemas, and conduct QA audits of pixel firing and data reconciliation.
• Design, build and maintain client dashboards in Looker Studio or Claude that merge paid‑media, GA4 and revenue data into a single source of truth.
• Produce weekly and monthly performance reports, ad‑hoc analyses (cohort, creative, channel mix, incrementality) and actionable recommendations.
• Leverage Claude, Claude Code and related AI tools to automate recurring reporting, anomaly detection, narrative generation and QA processes.
• Contribute to the agency’s internal AI infrastructure by creating prompt libraries, reusable workflows and SOPs.

Required profile

• 2–5 years of experience in ad operations, marketing analytics, MarTech or growth/performance.
• Strong command of GA4 and Google Tag Manager (including server‑side containers) and ability to debug tags.
• Hands‑on experience with Meta Conversions API, Google Enhanced Conversions and at least one of TikTok, LinkedIn or Pinterest conversion APIs.
• Comfortable reading and editing HTML, CSS and JavaScript for tracking code.
• Solid understanding of digital attribution models and post‑iOS 14 measurement challenges.
• Fluent written English and self‑directed work style.

Required skills

• GA4
• Google Tag Manager (web & server side)
• Meta Conversions API
• Google Enhanced Conversions
• TikTok Events API
• LinkedIn Insight Tag / Conversions API
• HTML, CSS, JavaScript
• Claude AI and Claude Code
• Looker Studio (or similar dashboard tools)
• SQL (BigQuery, PostgreSQL)
• Data‑warehouse platforms (Snowflake, BigQuery exports)
• ETL tools (Fivetran, Hightouch)