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SF Technology Solutions seeks an Analytics Manager to lead analytics efforts within a major distribution company. This hands-on role requires a strong leader familiar with data science and operations, capable of modernizing analytics strategy and decision-making processes across multiple business functions. Offering hybrid work and the chance to drive significant impacts in a dynamic environment.
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This range is provided by SF Technology Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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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:
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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