Marketing Insight & Analytics Lead - Mat Cover
Added 26 Aug · still live
Not disclosed
Salary
Not disclosed by employer
£41,700
Going rate
Skilled Worker going rate
This role likely qualifies for a Skilled Worker visa
SOC 2434 (80% match) is an eligible occupation, with a going rate of £41,700, and Moneybox is a licensed sponsor. That is our reading of the rules. Whether they issue a Certificate of Sponsorship is still their call.
This could also be SOC 2161 (Research and development (r&d) managers, Lead title and managing analytics function could be R&D manager) or SOC 3544 (Data analysts, Heavy focus on data analysis and data products). We read the code off the advert, so it is our best guess, not the employer's.
About the role
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
We're looking for a senior Marketing Insight & Analytics Lead to join the Data & Insight team on a fixed-term basis. This role is dedicated to supporting our Marketing function, acting as the analytical and technical centre of gravity for everything from campaign measurement to martech data infrastructure.
You'll work at the intersection of data engineering, analytics engineering, and marketing strategy. You'll refresh the measurement frameworks that tell us whether our marketing is working, and build the data products that make those answers repeatable and trusted.
What You'll Do
Marketing Measurement & Attribution
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
We're looking for a senior Marketing Insight & Analytics Lead to join the Data & Insight team on a fixed-term basis. This role is dedicated to supporting our Marketing function, acting as the analytical and technical centre of gravity for everything from campaign measurement to martech data infrastructure.
You'll work at the intersection of data engineering, analytics engineering, and marketing strategy. You'll refresh the measurement frameworks that tell us whether our marketing is working, and build the data products that make those answers repeatable and trusted.
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
- 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
- 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
- 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
- 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
Experience & Skills
- 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
- 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
- Join a fast-growing, award-winning company with genuine ambition to improve people's financial lives
- Work in a team that takes data quality and analytical rigour seriously, with a modern stack and strong engineering culture
- Dedicated, focused remit - you'll be the subject matter expert in your domain, with real ownership and visibility
- Hybrid working: 2 days from our London office, 3 from home
- Competitive FTC compensation package
This description is the source posting as it read when we added it. We are not affiliated with Moneybox, so check their own site for the current details.
Where this offer sits in the market
SOC 2434 · UK · ONS ASHE 2025 · ~85k in sampleP25 £35kP75 £50k
£29kmedian £41kgoing rate £42k£50k
Similar sponsored roles
See all UK visa jobs
About sponsorship for this role
Does this job guarantee visa sponsorship?
Not necessarily. Moneybox holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 2434 going rate of £41,700. New-entrant and shortage discounts can lower it.