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- Tasks: Design and build a cutting-edge marketing data foundation for impactful decision-making.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy competitive pay, generous time off, and employee support programmes.
- Other info: Dynamic work environment with opportunities for professional growth and learning.
- Why this job: Make a real difference by shaping data strategies that drive marketing success.
- Qualifications: 5-8 years in analytics or marketing data roles; strong SQL and dashboarding skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
Marketing Data Analytics Engineer in Uxbridge employer: Hertz
Contact Detail:
Hertz Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Analytics Engineer in Uxbridge
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing data analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GTM, GA4, and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data governance and compliance. We want to see how you tackle real-world problems, so think through your past experiences.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Marketing Data Analytics Engineer in Uxbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Marketing Data Analytics Engineer. Highlight your experience with data pipelines, tagging standards, and any relevant tools like GA4 or Salesforce. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about marketing data analytics and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: Since this role involves a lot of technical work, don’t shy away from showcasing your skills in SQL, Python, or dashboarding tools like Looker Studio. We love seeing concrete examples of how you've used these skills in past roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Hertz
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like GA4, Databricks, and Salesforce. Brush up on your SQL skills and be ready to discuss how you've used these platforms in past roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data issues or improved data flows in previous positions. Highlight your structured problem-solving approach and how it led to better decision-making.
✨Understand Compliance and Governance
Familiarise yourself with GDPR and consent frameworks, as well as how they apply to marketing data. Be prepared to discuss how you’ve ensured compliance in your previous work and how you would approach it in this role.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This role requires clear communication, so think of examples where you successfully bridged the gap between technical and commercial teams.