Data Analyst

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

Our client is a global leader in shopper intelligence and personalised retail media. For nearly four decades they have helped many of the world's largest FMCG/CPG brands and retailers turn purchase data into measurable commercial growth. Operating across six major international markets and reaching hundreds of millions of shoppers, the business analyzes billions of retail transactions every year, drawn from tens of thousands of connected stores. That gives it one of the richest and most complete views of real shopper behaviour anywhere in the industry - the kind of first-party purchase data most brands can only dream of.

The Role

Sitting within the analytics team, you'll turn shopper and campaign data into clear, actionable insight. Day to day that means building dashboards, running customer and shopper segmentation, and using Python to analyse behaviour and measure campaign performance for CPG/FMCG clients.

This is a hands-on, delivery-focused role for a genuinely analytical person - someone who enjoys getting into large datasets and working out the outputs that drive decisions. You'll work closely with commercial, marketing and account teams, translating technical analysis into recommendations that non-technical stakeholders can act on.

Key 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.

Requirements:

• Around 3 years' experience in a data or analytics role - ideally within CPG/FMCG, retail, loyalty or marketing/media 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 a curious, problem-solving person who enjoys getting into the data and working out the outputs.
• Excellent communication - able to turn technical analysis into clear commercial insight for non-technical stakeholders.
• Exposure to FMCG/CPG, retail or loyalty-scheme data.
• Experience with cloud data platforms such as Snowflake, Azure or Databricks.
• Understanding of campaign measurement and personalised media.