Marketing Insight & Analytics Lead

About Moneybox

At Moneybox, our mission is to give everyone the means to get more out of life. We’re guided by our belief that wealth isn’t about the money, it’s about the means to more – more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.

Job Brief

What you’ll do

Marketing Measurement & Attribution

• Lead the design and build of Moneybox’s marketing attribution framework
• Own incrementality testing: design experiments, define holdout groups, and translate results into actionable media planning recommendations
• Develop standardised effectiveness metrics and reporting that span paid, owned, and earned channels

MarTech Data & Infrastructure

• Act as the data lead for Moneybox’s marketing technology stack, assessing the current state of play and designing the roadmap to make improvements to the data underpinning
• Partner closely with Analytics Engineering and Data Engineering teams to ensure martech data flows (AppsFlyer, Google Ads API, Meta Ads API, GCP, Mixpanel) are well-modelled, documented, and trusted
• Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases
• Identify and close gaps in marketing data coverage; define requirements for new integrations and own their delivery where appropriate

Data Products & Reporting

• Build and maintain marketing data products – from campaign performance dashboards to customer acquisition cost models – that are used regularly by marketing leads and senior stakeholders
• Define and document sources of truth for key marketing KPIs, ensuring consistency across reporting surfaces
• Own the marketing reporting layer in Power BI (or equivalent), ensuring outputs are accurate, timely, and interpretable by non-technical audiences
•  Leverage AI to automate routine reporting, draft performance narratives, and surface key trends or anomalies

Stakeholder Partnership

• Serve as the primary data and analytics partner for the Marketing team, translating commercial questions into analytical briefs and technical requirements
• Support media planning cycles with data-driven audience segmentation, channel mix analysis, and budget allocation modelling
• Represent the Data & Insight team in cross-functional marketing planning forums, contributing to roadmap prioritisation

Who you are

• A senior individual contributor who is comfortable building technical solutions as you are communicating them to non technical stakeholders
• Deeply curious about marketing effectiveness: you have opinions about the limits of last-click attribution and the conditions under which MMM is and isn’t trustworthy
• A clear communicator who can make complex measurement concepts accessible to marketing and commercial stakeholders without dumbing them down
• Excited about fintech and the particular measurement challenges that come with a regulated, app-first, long-consideration financial product
• Comfortable with ambiguity and able to operate with autonomy in a fast-paced environment where the brief sometimes evolves mid-sprint

Experience and skills

Essential

• 5+ years in a marketing analytics, data science, or analytics engineering role with a strong focus on marketing measurement
• Hands-on experience with multi-touch attribution methodologies and media mix modelling
• Strong SQL skills; experience using it for data manipulation, data analysis, and modelling
• Direct experience with mobile attribution platforms, particularly AppsFlyer
• Familiarity with the privacy landscape across both app (e.g. iOS SKAdNetwork) and web (e.g. cookie deprecation), and how to navigate the resulting measurement challenges
• Experience working with advertising platform APIs (Google Ads, Meta Ads) for data extraction and pipeline automation
• Familiarity with GCP data services and event analytics platforms (Mixpanel or equivalent)
• Demonstrable experience building data products and self-serve reporting assets used by non-technical stakeholders
• Track record of designing and analysing incrementality experiments or A/B tests in a marketing context

Desirable

• Experience with dbt (Cloud or Core) for transformation layer development
• Familiarity with Databricks or similar modern data lakehouse platforms
• Experience with Power BI (or similar data visualisation tool)
• Experience in a regulated financial services or fintech environment
• Exposure to customer data platforms (CDPs) or CRM data integration (e.g. Braze)
• Experience working within or alongside analytics engineering teams and contributing to shared data models
• Understanding of CI/CD practices for data pipelines
• Experience with Python for data manipulation, modelling, and pipeline work

What’s in it for you?

• Opportunity to join a fast-growing, award-winning and super ambitious company
• Work with a friendly team of highly motivated individuals
• Be in an environment where you are listened to and can actually have an impact
• Thriving collaborative and inclusive company culture
• Competitive remuneration package
• Company pension scheme
• Company bonus scheme
• Hybrid working environment
• Home office furniture allowance
• Personal Annual Learning and Development budget
• Private Medical Insurance
• Health Cash Plan (cashback on visits to the dentist & opticians etc)
• Cycle to work scheme
• Wellhub subscription to a variety of gyms and wellbeing apps
• Enhanced parental pay & leave
• 25 days holiday + bank holidays with additional days added with length of service.
• This is a hybrid role. Our office is in London, by the Oxo Tower

APPLY NOW