Marketing Analyst
Posted 21 Sep 2026
Advertised as “Principal Marketing Analyst”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
Field of studyAnalytics, Business Intelligence, Computer Science, Data Science, Mathematics, Statistics (or related)
Study levelBachelor's
What is your mission?
We are looking for a highly experienced Principal Marketing Analyst to lead executive-level marketing analytics initiatives, design measurement methodologies, and deliver data-driven insights that influence business decisions. The role will own marketing analytics, Power BI dashboards, semantic data models, campaign performance reporting, ROI analysis, attribution measurement, and advanced analytics projects while partnering closely with senior stakeholders.
You will provide the best service to our partner brands by performing these tasks:
- Lead end-to-end analytical projects by translating complex business questions into actionable insights and validated recommendations for senior stakeholders.
- Define analytical methodologies, assumptions, reporting standards, and sources of truth for business-critical marketing decisions.
- Design, develop, and govern marketing data models, semantic layers, KPI frameworks, channel mappings, and reporting classifications.
- Establish and maintain quality assurance, validation, reconciliation, and accuracy standards across all marketing analytics deliverables.
- Review and certify the accuracy of marketing-related analyses, reports, dashboards, and insights produced by cross-functional teams.
- Design and implement campaign measurement frameworks, incrementality testing, holdout testing, and year-over-year performance methodologies.
- Build and maintain executive-level Power BI dashboards, reports, and semantic models focused on lead generation, conversion, retention, campaign effectiveness, and ROI.
- Perform advanced analytics including audience segmentation, customer clustering, survey analysis, propensity modelling, and performance forecasting.
- Present findings, insights, and recommendations directly to executive stakeholders and confidently defend methodologies, assumptions, and conclusions.
- Partner with marketing leaders on initiatives such as lifecycle marketing, customer re-engagement strategies, referral programme analysis, and digital funnel optimisation.
- Support marketing analytics platform modernisation initiatives, including migration to Databricks lakehouse architecture and reporting transformation efforts.