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Senior Manager Analytics

JR United Kingdom

Liverpool

Hybrid

GBP 60,000 - 85,000

Full time

7 days ago
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Job summary

A major player in distribution seeks an Analytics Manager to lead a critical analytics function, replacing a long-standing knowledge owner. In this role, you'll shape how data informs decisions across supply chain and operations while modernizing analytics practices—an exciting opportunity to make a significant impact within the company.

Benefits

10% bonus based on personal performance
Hybrid working (2–3 days on site per week)

Qualifications

  • Strong experience in data analysis and analytics leadership in multi-site environments.
  • Hands-on technical ability in Python, SQL, and Excel.
  • Experience with complex operations in supply chain or merchandising.

Responsibilities

  • Lead data analysis, shaping business insights from large datasets.
  • Collaborate with operations and finance to support decision-making.
  • Help establish and modernize analytics strategy and techniques.

Skills

Data analysis
Modeling
Leadership
Python
SQL
Excel

Job description

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Are you a hands-on analytics leader who can bridge the gap between data science, operations, and commercial strategy?

A major player in distribution is looking for a technically strong Analytics Manager to take ownership of a critical analytics function. You’ll be stepping into the shoes of a long-standing knowledge lead, so this role requires someone who can hit the ground running — technically, commercially, and operationally.

You’ll lead the charge in shaping how data is used across the business, with the freedom to introduce more advanced analytics, support predictive modelling ambitions, and act as a trusted business partner across supply chain, retail operations, and finance.

What you’ll be doing:

Acting as the go-to analytical expert across the business, replacing a long-tenured internal knowledge owner.

Leading and delivering insight from large datasets — manipulating, modelling, and interpreting using tools like Python, SQL, and Excel.

Working side-by-side with colleagues in operations, supply chain, merchandising, and finance to support better, faster decisions.

Helping shape the long-term analytics strategy, including future moves into predictive modelling and data science.

Playing a key role in modernising how the business leverages analytics — hands-on and collaborative from day one.

What we’re looking for:

Strong experience in data analysis, modelling, or analytics leadership within a multi-site retail, distribution, or operational environment.

Hands-on technical ability in Python, SQL, Excel — with a mindset for both solution-building and strategic improvement.

A background that spans both data infrastructure and business-facing analytics — someone who can build, model, interpret, and influence.

Experience working in businesses with complex, multi-site operations (e.g., supply chain, warehousing, product/merchandising).

What’s on offer:

10% bonus (based on personal performance)

Hybrid working (2–3 days on site per week)

Influence, autonomy, and a big gap to fill — you won’t be boxed in

This is a rare opportunity for an analytically-minded leader to step into a business-critical role with real visibility and the chance to shape the future of analytics in a scaled, physical-product environment.

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