Marketing Analytics Lead: CLV, CDP Activation & Media Measurement

finder.com.au; Sydney; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Life Leave

Free daily lunch

Parental leave

Job summary

Finder is seeking a Marketing Analytics and Measurement Lead to own customer lifetime value modelling, shape our new customer data platform for paid marketing, run the experimentation program, and own the tracking layer it all sits on. This is a hands-on role with direct exposure to the founders and cross-functional collaboration with marketing, product, engineering and data teams.

You will lead tracking, measurement across GTM, AppsFlyer, and ad platforms, and translate complex analytics into

Qualifications

• Proven customer lifetime value and cohort modelling experience, owned end to end.
• Strong SQL and warehouse experience, ideally BigQuery, plus Python for modelling
• Experiment design you can defend: geo splits, holdouts, incrementality and lift tests
• Depth in ad platform measurement mechanics, including click IDs, offline conversion import and enhanced conversions
• Strong GTM and GA4 literacy, enough to specify a container and spot when it is wrong
• Enough modelling literacy to interrogate a media mix model rather than just read it
• Able to explain uncertainty clearly to a non-technical executive audience
• Ideal - CDP or customer data infrastructure experience on the activation side
• Ideal - Hands-on server-side GTM implementation
• Ideal - Affiliate, comparison or marketplace economics
• Ideal - Australian financial services industry experience

Responsibilities

• Develop our existing CLV model from limited to trusted and operational
• Build out per-member CAC by acquisition source, flow and campaign
• Report the paid versus non-paid transaction mix monthly against our targets
• Show what a member is worth by product journey, not just first conversion
• Own the marketing requirements for our CDP build
• Land suppression audiences, first-party audience export to Meta and Google, and value-based bidding inputs
• Represent marketing in technical design reviews with product and engineering
• Make sure marketers can build and push audiences without an engineering ticket
• Connect customer data to ad platforms for conversion uploads
• Own a rolling experiment calendar: geo splits, holdouts, conversion lift and brand lift
• Own the incrementality read on new channels and partnership trials
• Work with our external MMM provider to interpret our media mix models and land the results with media buying in time to change the plan
• Provide evidence for key media decisions using MMM, experiments, brand tracking, and attribution.
• Contribute to tracking and tagging implementation for marketing in GTM, including collaboration with engineering or agency partners
• Own conversion tracking end to end, including partner postback integrations
• Own app tracking for paid media, including AppsFlyer setup and management
• Manage elements of the measurement vendor stack and work with the platform measurement teams at Google and Meta
• Work with marketing, product, engineering, data and commercial teams
• Translates complex statistical models and data analyses into compelling business narratives, providing the context and actionable insights needed to drive decision-making.
• Present measurement and member value directly to our founders
• Set the standard for how marketing decisions get evidenced at Finder

Skills

SQL

BigQuery

Python

Experiment design

GTM

GA4

AppsFlyer

Cohort modelling

Ad platform measurement

Data storytelling

Tools

BigQuery

GA4

Job description

Finder is seeking a Marketing Analytics and Measurement Lead to own customer lifetime value modelling, shape our new customer data platform for paid marketing, run the experimentation program, and own the tracking layer it all sits on. This is a hands-on role with direct exposure to the founders and cross-functional collaboration with marketing, product, engineering and data teams.

You will lead tracking, measurement across GTM, AppsFlyer, and ad platforms, and translate complex analytics into