Senior insight analyst

Harnham; Nottingham; Remote; GBP 60,000 - 75,000; Full time

Job summary

Harnham seeks a Senior Insight Analyst based in Nottingham for a remote-first role requiring expertise in customer analytics and statistical modeling. This position offers an opportunity to influence strategic growth through data analysis and collaboration with diverse teams. The ideal candidate will drive insights across marketing performance and customer behavior.

Qualifications

• Strong experience in customer analytics and advanced analytical modeling.
• 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 like linear regression and A/B tests.

Skills

Customer analytics

Statistical modeling

Python

SQL

Strong communication

Education

Degree in Mathematics, Statistics, Economics or related quantitative field

Tools

SageMaker

Job description

Harnham Nottingham, England, United Kingdom

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Building Data Analytic Teams Across the North & Midlands (UK) | The Talent Driving The Data & AI Revolution

Senior Insight Analyst

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.

Keywords

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst and Marketing

• Industries

  Software Development

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