Design and build a greenfield marketing data foundation: tracking/tagging, identity strategy, data pipelines, integrations (GA4, Salesforce, Databricks, COGNOS), data modeling and QA, dashboards, attribution/MMM, governance and compliance. Serve as primary contact for marketing data issues, enforce standards, prioritize analytics backlog, and enable stakeholders.
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
Similar Jobs
Artificial Intelligence • Cybersecurity
Manage and grow an assigned B2B SaaS customer portfolio by driving renewals, upsells and cross-sells. Build strong client relationships, run QBRs and onboarding, collaborate with Product and Marketing, deliver data-driven presentations, monitor market trends, and champion customer feedback to maximize retention and product adoption.
Top Skills:
Account Management ToolsCrm Platforms
Digital Media • Information Technology • News + Entertainment
Manage agency relationships and drive adoption, revenue growth, and performance of FreeWheel’s Curation Hub marketplace. Lead business reviews, account development plans, campaign and listing optimization, and data-driven recommendations. Coordinate with sales, product, support, engineering, and supply teams; track platform usage, performance metrics, customer issues, and enhancement requests. The role requires fluent French and English, programmatic advertising expertise, strong stakeholder management, and the ability to translate performance data into commercial opportunities.
Top Skills:
AdtechCuration HubDeal IdsDspsFreewheel MarketplacePrivate Marketplaces (Pmps)Programmatic AdvertisingSsps
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Own the customer journey for SME and mid-market customers from onboarding through go-live and ongoing servicing. Build the EMEA Customer Success operating model, manage implementation activities, coordinate cross-functional stakeholders, monitor usage and service metrics, resolve escalations, and improve customer experience. The role requires strong relationship management, technical troubleshooting, operational attention to detail, and the ability to manage complex customer issues in a high-growth fintech environment.
Top Skills:
Google WorkspaceLookerSaaSSalesforceSQLZendesk
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
