Senior insight analyst

JR United Kingdom; Mansfield; Hybrid; GBP 60,000 - 75,000; Full time

Job summary

A leading global consumer platform is seeking a Senior Insight Analyst to enhance its analytics function. The role primarily focuses on analyzing customer behavior, driving marketing optimization, and collaborating with cross-functional teams to deliver actionable insights. With a competitive salary package and opportunities for growth, this position allows you to work in a dynamic environment while contributing to strategic decisions that impact business growth.

Qualifications

• Strong experience in customer analytics, data science, or advanced analytical modelling.
• Hands-on experience using Python for statistical analysis.
• Advanced SQL skills for data extraction and manipulation.

Responsibilities

• Analyse customer behaviour to support commercial growth.
• Deliver pre- and post-campaign analysis and ongoing performance tracking.
• Build and deploy statistical models for marketing performance.

Skills

Customer analytics

Data science

Statistical modelling

Python

SQL

Communication skills

Education

Degree in Mathematics

Degree in Statistics

Degree in Economics

Job description

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Location: Remote first (1x per month Nottingham)

Salary: Up to £75,000 (depending on experience)

The Company

A global consumer platform with a fast-growing digital presence and millions of active users worldwide. The business partners with hundreds of leading global brands across retail, technology, food delivery, and travel, offering exclusive digital experiences and offers to a highly engaged customer base. As part of ongoing growth across data and analytics, the Senior Insight Analyst will join a growing analytics function, working closely with commercial teams, data engineering, and data science to deliver actionable insights across customer behaviour, marketing performance, and strategic growth opportunities.

The Role

This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope to grow into either a strong individual contributor role or people leadership position as the function scales.

Key Responsibilities

• Analyse customer behaviour across the platform to support commercial growth and marketing optimisation.
• Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking.
• Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests.
• Work closely with ML Engineers, commercial teams, and senior stakeholders to translate insight into business action.
• Support marketing measurement, frequency analysis, churn reduction and commercial opportunity assessment.
• Collaborate cross-functionally with data engineering, product, and commercial teams on high-impact projects.
• Present clear, actionable insight to both technical and non-technical stakeholders across the business.

Skills & Experience

• Strong experience in customer analytics, data science, or advanced analytical modelling.
• Hands-on experience using Python for statistical analysis and modelling.
• Advanced SQL skills for data extraction and manipulation.
• Experience applying statistical methods such as linear regression, KMM, forecasting models, and experimentation.
• Strong communication skills with the ability to simplify complex analysis for business audiences.
• Degree in Mathematics, Statistics, Economics or related quantitative field.
• Experience working with SageMaker or similar cloud-based ML platforms.
• Prior experience in subscription or membership-based consumer businesses.
• Exposure to marketing mix modelling or marketing analytics.

Interview Process

• 1st Stage: Introductory screen (background, motivation & fit).
• 2nd Stage: Take-home technical task.
• 3rd Stage: Technical interview.
• Final Stage: Panel presentation & stakeholder Q&A.

How to Apply

Send your CV to Mohammed Buhariwala at Harnham using the Apply link on this page or connect directly to find out more.

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