Senior Insight Analyst

JR United Kingdom; Newcastle upon Tyne; Remote; GBP 55,000 - 75,000; Full time

Job summary

JR United Kingdom is seeking a Senior Insight Analyst for a remote-first role based in Newcastle upon Tyne. This strategic position involves blending data science with business impact through analytics and experimentation, focusing on marketing measurement and commercial opportunities. The ideal candidate will have robust analytical skills and the ability to communicate effectively with senior stakeholders.

Qualifications

• Solid advanced analytics skills (e.g. regression, clustering, forecasting).
• Strong communicator with senior stakeholders.

Responsibilities

• Work across analytics, experimentation, and forecasting.
• Identify commercial opportunities in key markets.
• Collaborate in a cross-functional team environment.

Skills

Python

SQL

Statistical modeling & analysis

Education

Background in Maths, Stats, Economics, or similar

Job description

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Senior Insight Analyst, newcastle-upon-tyne, tyne and wear

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Client:

Location:

newcastle-upon-tyne, tyne and wear, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

10.06.2025

Expiry Date:

25.07.2025

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Job Description:

ROLE: Senior Insight Analyst - Advanced Analytics

? Remote-first (infrequent travel to London or Nottingham)

? Up to £75,000

About the company:

A global consumer platform with a large user base, connecting audiences to major brands across fashion, tech, lifestyle, and education. Active in 100+ markets with a strong digital and data-first focus.

The role:

A hands-on and strategic position with the option to grow into leadership or stay on a strong IC path. You'll work across analytics, experimentation, and forecasting – blending business impact with data science.

Initial focus areas:

• Marketing & channel measurement
• Identifying commercial opportunities in key markets

Team & culture:

Collaborative, cross-functional, and growth-focused. You'll work closely with product, engineering, and analytics peers in a supportive environment.

• Python
• SQL
• Statistical modeling & analysis

Ideal background:

• Solid advanced analytics skills (e.g. regression, clustering, forecasting)
• Strong communicator with senior stakeholders
• Background in Maths, Stats, Economics, or similar

Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page.