Senior Manager Analytics (Warrington)

Senior Analytics Manager

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:

£85,000–£90,000 basic salary

Car allowance

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.