Marketing data analytics engineer Work, Jobs in Winnersh, Brk (with Salaries)

Marketing Data Analytics Engineer
Hertz —Uxbridge
- Full-time
- Computer Science
- SQL
- APIs
- Annual leave
- Employee assistance programme
Senior Director, Commercial and Marketing Technology Platforms
Fortrea —Maidenhead
- 8 hour shift
- Computer Science
- Salesforce
- Business development
7d
Data Scientist
Pragma —Newbury
- SQL
- Machine learning
- Mentoring
- Annual leave
Senior Data Scientist
MarketCast UK —Reading
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Flexitime
Quick apply
Data Scientist
Gamma —Newbury
- Full-time
- SQL
- Machine learning
- Mentoring
- Annual leave
Quick apply
Digital Media Data Assistant
upriseUP —Chesham
- £26,000 a year
- Monday to Friday
- Hybrid work
- Data analysis skills
- English
- Maths
- Flexible schedule
Business Analyst
Karo Healthcare —Maidenhead
- Full-time
- Hybrid work
- Sales
- Engineering
- English
- Flexible schedule
Quick apply
Marketing Manager
Kinetico —Staines-upon-Thames
- Full-time
- Sales
- Marketing
- Travel
- Health & wellbeing programme
- Annual leave
New Logo Account Executive -Policing
ServiceNow —Staines-upon-Thames
- Full-time
- Up to 50% travel
- Sales
- Travel
Quick apply
5d

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Marketing Data Analytics Engineer

Hertz -
Uxbridge

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Job details

Full-time

Benefits

Annual leave
Employee assistance programme

Qualifications

Cognos
Computer Science
R
Google Tag Manager
Tableau
SQL
APIs
Data science
Python
Marketing

Full job description

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:

5-8 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

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

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.

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marketing data analytics engineer jobs in winnersh, brk

Marketing Data Analytics Engineer

Senior Director, Commercial and Marketing Technology Platforms

Data Scientist

Senior Data Scientist

Data Scientist

Digital Media Data Assistant

Business Analyst

Marketing Manager

New Logo Account Executive -Policing

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