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Senior Insight Analyst

JR United Kingdom

Kingston upon Hull

Remote

GBP 75,000

Full time

11 days ago

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Job summary

A global consumer platform seeks a Senior Insight Analyst to drive analytics and data science initiatives. This role offers the chance to blend business impact with technical expertise in a collaborative environment, focusing on strategic marketing efforts and commercial opportunities. The position is remote-first with occasional travel to major city offices.

Qualifications

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

Responsibilities

  • Work across analytics, experimentation, and forecasting.
  • Focus on marketing & channel measurement and identifying commercial opportunities.

Skills

Python
SQL
Statistical modeling
Statistical analysis

Education

Background in Maths, Stats, Economics, or similar

Job description

Social network you want to login/join with:

Senior Insight Analyst, kingston upon hull, east yorkshire

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Client:
Location:

kingston upon hull, east yorkshire, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

6

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.

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