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Senior Data Manager - Retail - 6 months FTC

Blu Digital

London

Hybrid

GBP 60,000 - 70,000

Full time

2 days ago
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Job summary

A leading global retail group is seeking an experienced Senior Data Manager for a 6-month FTC based in Surrey. The role requires expertise in data analysis and visualization, with a competitive salary package of up to £70,000. The right candidate will have strong skills in Python or SQL, and proficiency with tools like Tableau and Power BI.

Qualifications

  • Strong visualization skills required.
  • Experience interpreting sales and performance data.
  • Ability to translate large data sets into actionable insights.

Responsibilities

  • Manage data visualization projects and stakeholder engagement.
  • Interpret and analyze sales, pricing, and performance data.
  • Liaise with global teams across various departments.

Skills

Data Visualization
Stakeholder Management
Data Analysis
Python
SQL

Tools

Tableau
Power BI
Snowflake

Job description

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Senior Data Manager - Retail - 6 months FTC, London

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Client:

Blu Digital

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

18f6002eda02

Job Views:

27

Posted:

22.06.2025

Expiry Date:

06.08.2025

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Job Description:

Our client, a leading global retail group, is looking for an experienced Senior Data Manager to join their team in Surrey.

The role will be hybrid and based in a Surrey office. It is paying up to £70k + bens and is an initial 6 months FTC.

The ideal person must have strong visualisation skills, experience interpreting sales, pricing, distribution and performance data, and have exceptional senior stakeholder management skills.

You should be able to take multiple large data sets and translate them into actionable insights. Coding skills within Python or SQL would be valued for this role. If you have experience with Snowflake, this would also be beneficial.

You should be able to work with a range of visualisation tools such as Tableau or Power BI and liaise with the global data, finance, marketing, IT and sales teams.

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