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For Companies At a Glance
- Tasks: Lead marketing analytics and data engineering to create a unified data foundation.
- Company: Join Hertz, a leader in travel arrangements with a commitment to innovation.
- Benefits: Enjoy up to 40% off rentals, paid time off, and an employee assistance programme.
- Why this job: Make impactful decisions with data while working in a dynamic and supportive environment.
- Qualifications: 5-8 years in analytics or data engineering; strong SQL and dashboarding skills required.
- Other info: Be part of a diverse team that values equal opportunity and personal growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Marketing Analytics and Data Engineering Lead role at Hertz. Design, build, and govern the marketing data foundation – tagging, tracking, pipelines, and modelling – to create a single source of truth across direct, paid, social, and CRM channels. Enable faster, better decisions with accurate data, integrated views (GA4, Salesforce, Databricks, COGNOS), and insight products (dashboards, attribution/MMM). Be the primary point of contact for all tracking and data issues, ensuring reliability, compliance, and speed.
Key Responsibilities
- Deploy, audit, and manage web/app tagging and tracking (GTM, GA4, CM360/Floodlight, Meta pixel, consent mode), and enforce server‑side GTM evaluation and de‑duplication rules.
- Build robust connectors/APIs for GA4, GMP (CM360/DV360/SA360), Meta, and other platforms; unify with Databricks, COGNOS, and Salesforce.
- Model clean tables and views, implement data quality checks and documentation.
- Deliver Looker Studio and Tableau dashboards, automate recurring reporting, and provide training to channel owners.
- Deploy open‑source MMM (Meta Robyn, Google Meridian), design holdouts, and support hybrid attribution and incrementality studies.
- Ensure GDPR/consent compliance, maintain audit trails, and partner with legal on risk mitigation.
- Act as a single point of contact for data/tracking issues, triage quickly, and run enablement sessions and documentation.
Key KPIs
- Tag coverage rate and accuracy; reduced data discrepancy between platforms and 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 and incrementality tests.
- Compliance readiness; consent coverage and audit trail completeness.
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 and experience with BigQuery or equivalent.
- Hands‑on APIs and proficiency with dashboarding (Looker Studio/Tableau).
- Familiar with 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 with a bias to automate and standardise.
- Clear communicator able to translate between technical and commercial stakeholders.
- Strong ownership and prioritisation; able to manage a technical backlog and SLAs.
- Documentation discipline and enablement mindset to up‑skill the wider team.
Tools and Stack
- BigQuery, Python/R, GA4, CM360/DV360/SA360, Meta.
- Looker Studio, Tableau, Server‑side GTM, privacy and consent platforms.
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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Marketing and Sales
Industries Travel Arrangements
EEO Statement Hertz is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status or any other protected class.
Marketing Analytics Manager in Uxbridge employer: Hertz
Contact Detail:
Hertz Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analytics Manager in Uxbridge
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing analytics space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving GA4, SQL, or dashboarding tools like Looker Studio. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Be ready to discuss how you've tackled data discrepancies or improved tagging accuracy in previous roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Marketing Analytics Manager in Uxbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Marketing Analytics Manager. Highlight your experience with GTM, GA4, and any relevant data engineering skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about marketing analytics and how you can contribute to our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Technical Skills: Don’t forget to mention your technical expertise, especially in SQL, APIs, and dashboarding tools like Looker Studio or Tableau. We’re looking for someone who can hit the ground running, so make those skills pop!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get you on board!
How to prepare for a job interview at Hertz
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like GA4, BigQuery, and Tableau. Familiarise yourself with their functionalities and how they integrate with each other. Being able to discuss your hands-on experience with these platforms will show that you’re ready to hit the ground running.
✨Prepare for Technical Questions
Expect to be asked about your experience with tagging, tracking, and data modelling. Brush up on your SQL skills and be ready to solve a few problems on the spot. Practising common technical interview questions can help you feel more confident and articulate during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you’ve tackled complex data issues or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your structured problem-solving approach and your ability to automate and standardise processes.
✨Communicate Clearly and Effectively
Since the role involves translating technical jargon for commercial stakeholders, practice explaining complex concepts in simple terms. During the interview, focus on clear communication and ensure you’re engaging with your interviewers. This will highlight your ability to bridge the gap between technical and non-technical teams.
