Senior Manager Analytics

JR United Kingdom; Chester; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A major distribution player seeks an Analytics Manager to lead its analytics function. The successful candidate will shape data strategy and leverage advanced analytics across business operations. This role demands strong technical skills in Python, SQL, and Excel, with an emphasis on collaboration and influencing decision-making processes. Hybrid working offers flexibility, with a notable bonus based on performance, making it a pivotal opportunity for analytical leaders.

Benefits

10% performance-based bonus

Hybrid working model (2-3 days on-site)

Autonomy and influence over analytics strategy

Qualifications

• Strong experience in analytical leadership within a retail or distribution context.
• Hands-on technical ability in Python, SQL, and Excel.
• Ability to influence using data structures and analytics.

Responsibilities

• Lead and deliver insights from large datasets using advanced analytics.
• Shape long-term analytics strategy and improve data usage across the business.
• Collaborate with operations, supply chain, and finance to enhance decision-making.

Skills

Data Analysis

Modelling

Analytics 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.