Analytics Engineer
AirTree Ventures is a network-powered venture capital firm backing Australian and New Zealand founders building iconic technology companies. It invests across stages from seed to growth and supports its portfolio through founder and operator networks, talent, press and customer introductions.
About AirTree Ventures
AirTree Ventures is a network-powered VC that backs Aussie and Kiwi founders, growing and supporting the ANZ startup ecosystem. It has invested in 140+ portfolio companies and 250+ founders, helping create over 19,000 jobs. The firm recently announced its Fund V, a $650m fund comprising a $250M Seed fund and a $400M Growth fund, to back founders from idea stage to becoming global household names. Beyond capital, AirTree runs programs such as Pioneer (for outlier women and gender-diverse people in tech) and Explorer (nurturing diverse angel investors), and publishes 'Open Source VC' content including company-building guides, templates, databases and interviews. Clients/portfolio companies include notable Australian startups such as Canva, Xplor, Kismet and Qwilr, reflecting a focus on early-stage to growth-stage technology founders in Australia and New Zealand.
Skills
About the Role
You'll own the accuracy, reliability, and scalability of the marketing data and tracking ecosystem, initially in the UK and increasingly across global markets. Sitting at the intersection of marketing, data, and engineering, you'll make sure every customer interaction is correctly captured, enriched, and flowing into the right platforms, from Segment pipelines into BigQuery through to the ad platforms and CRM tools that drive acquisition and retention. You'll work closely with the UK & EU marketing analytics teams, the central data engineering team, and cross-functional partners across growth, CRM, and product, taking end-to-end ownership of implementation, governance, data quality monitoring, and documentation.
Requirements
- 3–5 years in an analytics engineering, marketing data, or tracking implementation role
- Strong hands-on experience with Google Tag Manager, web and server-side
- Experience with Segment or a comparable CDP, including schema management, destination configuration, and event governance
- Solid SQL, ideally in BigQuery, for validating and interrogating tracking data
- Comfortable with browser dev tools, network debugging, and the mechanics of how tags and pixels fire
- Understanding of marketing pixels across Meta, Google Ads, TikTok, and equivalent platforms
- Familiarity with event-driven data models and the distinction between client-side and server-side tracking
- Familiarity with dbt or similar transformation tools
- Strong documentation habits
- Nice to have: experience with consent management platforms such as OneTrust or Cookiebot
- Nice to have: exposure to attribution modelling, MMM, or incrementality frameworks
- Nice to have: experience working in a regulated industry or across multiple jurisdictions
Responsibilities
- Implement and maintain tracking across web and app surfaces using Google Tag Manager and Segment
- Configure and manage integrations with key ad platforms such as Meta, Google Ads, and TikTok
- Debug tracking issues using browser dev tools, network requests, and tag inspection tooling
- Partner with engineering on server-side tracking and event ingestion
- Own marketing-relevant event schemas within Segment including naming conventions, parameter structures, and destination mappings
- Ensure clean, reliable pipelines into downstream tools including BigQuery, ad platforms, and CRM
- Work with the central data team to align on event standards and governance frameworks
- Support the codification of Segment configuration to make international market launches faster and more repeatable
- Monitor and validate data accuracy across marketing pixels and event streams
- Build automated checks for missing or duplicated events, schema drift, and anomalies
- Investigate discrepancies across platforms such as Meta, internal warehouse, and GA
- Maintain documentation of tracking plans and expected behaviours
- Implement enhanced conversions, hashed PII, and server-side conversion APIs to improve signal quality
- Support attribution, incrementality, and MMM work with high-quality input data
- Ensure tracking fires correctly based on user consent under GDPR and ePrivacy
- Work with consent management tools to maintain compliant tracking configurations
- Audit tracking setups for compliance risks in new jurisdictions
- Build dashboards and alerts to monitor tracking health and data quality
- Give marketing stakeholders reliable, trusted reporting on the data underpinning their decisions
Benefits
- Employee stock options program
- Flexible hybrid setup with 3 days a week in office
- Monthly wellness allowance
- Yearly personal development budget and 3 extra days of leave for upskilling
- 25 days holiday plus bank holidays with enhanced parental leave policy
- Regular team socials and events
- MacBook provided
