Marketing Analytics and Data Engineering Lead
Listed on 2025-11-25
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IT/Tech
Data Analyst, Data Science Manager, Data Security, Data Engineer
Marketing Analytics and Data Engineering Lead
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. 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.
- 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.
- 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.
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 Big Query 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).
- 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.
- Big Query, Python/R, GA4, CM360/DV360/SA360, Meta.
- Looker Studio, Tableau, Server‑side GTM, privacy and consent platforms.
- Up to 40% off any standard Hertz Rental in a corporate country.
- Paid Time Off.
- Employee Assistance Programme for employees and family.
Mid‑Senior level
Employment TypeFull‑time
Job FunctionMarketing and Sales
IndustriesTravel Arrangements
EEO StatementHertz 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.
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