Marketing Data Analytics Analyst — AI-Driven Insights

Adelphi Group; Greater London; Hybrid; GBP 42,000 - 64,000; Full time

Benefits offered by this job

Hybrid work model

Career development

Job summary

RAPP in London is seeking a data analytics analyst to work on client projects, delivering data-driven insights and strategies. You’ll start under supervision and quickly own deliverables, including campaign analysis and customer profiling.

Collaboration across teams will shape the client journey and measurable outcomes. You’ll need SQL and/or Python skills, cloud data access, and a strong curiosity about the 'why' behind data.

Qualifications

• Working knowledge of SQL and/or Python and can independently write code to pull data from a cloud environment (AWS/Azure/GCP).
• Experience in agency, consulting or client-side with customer-related datasets (marketing analytics, sales analysis, etc).
• Curious mindset, asks questions and seeks the 'why' of data to guide client actions.
• Willing to present findings to the team and clients as needed.

Responsibilities

• Set up a simple test-and-learn plan for a client’s marketing and CRM activities.
• Use RAPP’s AI tools to provide insights on what campaign elements work and why.
• Create a customer profile for a specific audience subset and report back to a client.
• Provide post-campaign analysis reporting to tell what worked and how to optimise.
• Support the experience strategy team in creating a data-driven customer journey.
• Build a KPI tree or measurement framework showing key metrics to track and improve.

Skills

SQL

Python

Data analytics

Client-facing

Curiosity

Tools

AWS

Azure

GCP

Job description

RAPP in London is seeking a data analytics analyst to work on client projects, delivering data-driven insights and strategies. You’ll start under supervision and quickly own deliverables, including campaign analysis and customer profiling.

Collaboration across teams will shape the client journey and measurable outcomes. You’ll need SQL and/or Python skills, cloud data access, and a strong curiosity about the 'why' behind data.