Data Analyst: Shopper Insights & Campaign Analytics

Vertical Advantage; Greater London; On-site; GBP 50,000 - 85,000; Full time

Job summary

Vertical Advantage is seeking a data analytics professional for a global shopper intelligence client. You will turn shopper and campaign data into clear, actionable insight by building dashboards and performing segmentation using Python.

You''ll work with commercial, marketing and account teams to translate technical analysis into recommendations for non-technical stakeholders, and help automate reporting to scale insights across campaigns.

Qualifications

• Around 3 years' experience in data or analytics
• Strong Python for data analysis and automation
• Hands-on experience with customer or shopper segmentation
• Strong SQL and confidence working with large datasets
• A genuinely analytical mindset and problem-solving approach
• Excellent communication - able to translate analysis for non-technical stakeholders
• Exposure to FMCG/CPG, retail or loyalty data
• Experience with cloud data platforms such as Snowflake, Azure or Databricks

Responsibilities

• Build and maintain dashboards that give stakeholders clear visibility of shopper and campaign performance.
• Deliver customer and shopper segmentation to sharpen targeting, audience strategy and campaign effectiveness.
• Use Python (and SQL) to extract, clean and analyse large transactional datasets.
• Measure campaign performance and ROI, surfacing trends, patterns and commercial opportunities in the data.
• Translate analysis into practical, commercial recommendations for internal teams and clients.
• Partner with commercial, marketing and account teams to ensure analytics directly supports business objectives.
• Help streamline and automate reporting workflows to make insight faster and more scalable.

Skills

Python

SQL

Data analytics

Dashboards

Customer segmentation

Communication

Cloud platforms

Tools

Snowflake

Azure

Databricks

Job description

Vertical Advantage is seeking a data analytics professional for a global shopper intelligence client. You will turn shopper and campaign data into clear, actionable insight by building dashboards and performing segmentation using Python.

You''ll work with commercial, marketing and account teams to translate technical analysis into recommendations for non-technical stakeholders, and help automate reporting to scale insights across campaigns.