Marketing Data Analytics Engineer
At a glance
Mid-level Marketing Analytics role at Fa Evlf Saasfaprod1. Uxbridge · full-time.
Pay not stated Marketing Analytics salary
Growth Roles summary, based on the employer's posting.
What you'll do
- You'll build the marketing data backbone, from event design and identity through pipelines, models, and trusted reporting
- You'll set web and app measurement rules, audit events and consent, and assess server-side GTM
- You'll connect GA4, GMP, Meta, Salesforce, COGNOS, and Databricks through APIs and reliable data flows
- You'll create quality checks, dashboards, attribution and MMM outputs, then train channel owners to use them
- You'll triage tracking problems, manage the analytics queue, and uphold compliance, documentation, and service targets
What you bring
- You bring six to eight years in analytics, data engineering, or marketing analytics engineering
- You're experienced with GTM, GA4, GMP, Meta tracking, hands-on APIs, and strong SQL
- You can use BigQuery or an equivalent, Looker Studio or Tableau, plus Python or R
- You understand MMM and attribution, including Robyn or Meridian, and privacy requirements such as GDPR and consent mode
- You hold a degree in Computer Science, Analytics, or Data Science
Who this fits
You’ll thrive if you bring structured problem solving, clear communication, strong ownership, prioritisation, and a habit of documenting and enabling others. The role is full time and based in Uxbridge, United Kingdom. You must be authorized to work in the UK and provide a valid passport or relevant visa.
From the employer
Design, build from the ground up, and govern the end‑to‑end marketing data foundation, including tagging, tracking, data pipelines, and modelling, to create a trusted single source of truth across brand direct, paid media, social, and CRM.
This role is accountable for establishing greenfield data flows, standards, and operating models, enabling faster, better decision‑making through accurate data, integrated views (GA4, Salesforce, Databricks, COGNOS), and scalable insight products (dashboards, attribution, MMM). Act as the primary point of contact for all digital tracking and marketing data issues, ensuring reliability, compliance, and speed across the ecosystem.
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
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