Marketing Data Analytics Engineer

Own tagging and tracking standards for web/app (GTM, GA4, CM360/Floodlight, Meta pixel/event manager, consent mode) Define and maintain the marketing KPI dictionary and data model; steward the single source of truth. Define data pipelines between martech platforms and enterprise solutions (Salesforce, COGNOS, Databricks). Set QA/alerting SLAs, prioritise analytics backlog. Advise on experimentation, attribution and MMM, recommend budget reallocations based on evidence.

Key Responsibilities:

• Design and build the marketing data foundation from scratch, including tracking architecture, event schemas, identity strategy, and data flows across martech and enterprise platforms.


• Tagging and implementation: Deploy and audit events, conversions, and consent, server-side GTM evaluation, manage parameter standards and de-duplication rules


• Platform integrations: Build robust connectors/APIs for GA4, GMP (CM360/DV360/SA360), Meta and other platforms. Unify with Databricks, COGNOS and Salesforce


• Data engineering: Model clean tables/views, implement data quality checks and documentation


• Dashboards and reporting: Deliver looker studio and Tableau dashboards, automate recurring reporting, provide training to channel owners


• Attribution and MMM: Deploy open source MMM (Meta Robyn, Google Meridian), design holdouts, support hybrid attribution and incrementality studies


• Governance and compliance: Ensure GDPR/Consent compliance, maintain audit trails, partner with legal on risk mitigation


• Troubleshooting and enablement: Act as a single point of contact for data/tracking issues, triage quickly, run enablement sessions and documentation

Key KPIs

• Tag coverage rate and accuracy; reduced data discrepancy between platforms and data sources


• Pipeline uptime and latency SLAs; time to lag and time to insight reductions


• Dashboard adoption and stakeholder satisfaction


• Evidence based budget reallocation % driven by MMM/holdouts; lift from incrementality tests


• Compliance readiness; consent coverage, audit trail completeness


• Profile and Experience:

Educational Background:

• Degree in Computer Science, Analytics or Data Science

Professional Experience: 

• 6-8 years in analytics/data engineering or marketing analytics engineering roles


• Expertise in GTM/GA4/GMP/Meta tracking; strong SQL, experience with BigQuery or equivalent


• Hands on APIs


• Proficiency with dashboarding (Looker studio/Tableau) and at least one scripting language (Python or R)


• MMM/Attribution exposure (Robyn, Meridian) and understanding of privacy frameworks (GDPR. Consent mode)

Skills and competencies

• Structured problem solving, bias to automate and standardise


• Clear communicator who can translate between technical and commercial stakeholders


• Strong ownership and prioritisation; able to manage technical backlog and SLAs


• Documentation discipline; enablement mindset to upskill the wider team

Tools and stack

• BigQuery, Python/R, GA4, CM360/DV360/SA360, Meta


• Looker Studio/Tableau, Serverside GTM, privacy and consent platforms


• Salesforce, COGNOS, Databricks

Hertz is an equal opportunity employer, all applicants must have the legal right to work in the UK (Valid Passport / Relevant Visa).

What You’ll Get:

• Up to 40% off any standard Hertz Rental in a Corporate country


• Paid Time Off


• Employee Assistance Programme for employees and family