Hertz

Car rental services and fleet management

Marketing Data Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeUxbridge, UKNo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Analytics, or Data Science.
Six to eight years of experience in analytics, data engineering, or marketing analytics engineering roles.
Expertise in Google Tag Manager, Google Analytics 4, Google Marketing Platform, and Meta tracking.
Strong SQL skills and experience with BigQuery or an equivalent platform.
Hands-on experience with application programming interfaces.
Proficiency with dashboarding using Looker Studio or Tableau.
Proficiency in at least one scripting language, Python or R.
Exposure to marketing mix modeling or attribution, including Meta Robyn or Google Meridian.
Understanding of privacy frameworks, including General Data Protection Regulation and consent mode.
The legal right to work in the United Kingdom with a valid passport or relevant visa.

Responsibilities

Design, build from the ground up, and govern the end-to-end marketing data foundation, including tagging, tracking, data pipelines, and modeling.
Establish greenfield data flows, standards, and operating models across brand direct, paid media, social, and customer relationship management data.
Create integrated views across Google Analytics 4, Salesforce, Databricks, and COGNOS and deliver scalable insight products such as dashboards, attribution, and marketing mix modeling.
Act as the primary point of contact for digital tracking and marketing data issues, ensuring reliability, compliance, and speed across the ecosystem.
Own web and app tagging and tracking standards using Google Tag Manager, Google Analytics 4, Campaign Manager 360/Floodlight, Meta Pixel/Event Manager, and consent mode.
Define and maintain the marketing key performance indicator dictionary and data model, and steward the single source of truth.
Define data pipelines between marketing technology platforms and enterprise solutions including Salesforce, COGNOS, and Databricks.
Set quality-assurance and alerting service-level agreements and prioritize the analytics backlog.
Advise on experimentation, attribution, and marketing mix modeling, and recommend budget reallocations based on evidence.
Design and build the marketing data foundation, including tracking architecture, event schemas, identity strategy, and data flows across marketing technology and enterprise platforms.
Deploy and audit events, conversions, and consent; evaluate server-side Google Tag Manager; and manage parameter standards and deduplication rules.
Build robust connectors and application programming interface integrations for Google Analytics 4, Google Marketing Platform, Campaign Manager 360, Display & Video 360, Search Ads 360, Meta, and other platforms, unifying them with Databricks, COGNOS, and Salesforce.
Model clean tables and views and implement data-quality checks and documentation.
Deliver Looker Studio and Tableau dashboards, automate recurring reporting, and provide training to channel owners.
Deploy open-source marketing mix modeling using Meta Robyn and Google Meridian, design holdouts, and support hybrid attribution and incrementality studies.
Ensure General Data Protection Regulation and consent compliance, maintain audit trails, and partner with legal on risk mitigation.
Triage data and tracking issues quickly, run enablement sessions, and maintain documentation.

Desired Qualifications

Structured problem solving, with an emphasis on automation and standardization.
Ability to translate between technical and commercial stakeholders.
Strong ownership and prioritization, including management of the technical backlog and service-level agreements.
Documentation discipline and an enablement mindset to upskill the wider team.

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

About the Company

Hertz

Car rental services and fleet management

Hertz rents cars, trucks, and vans to leisure and business customers through a global network of airport and urban locations. Customers choose a vehicle, set dates and pickup location, and pay the rental fee plus optional extras like insurance or GPS. The company differentiates itself with broad accessibility, convenient airport and city concessions, flexible pricing, and value-added add-ons. Its goal is to provide easy, reliable mobility for individuals and fleets by offering broad access, clear pricing, and useful services.

Company size: 10,001+
Company stage: IPO
Headquarters: Shadow Wood, Florida
Founded: 1918

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