At a Glance
- Tasks: Lead analytics initiatives, manipulate data, and support decision-making across various departments.
- Company: Join a major player in distribution, driving innovation through data analytics.
- Benefits: Enjoy a competitive salary, car allowance, hybrid working, and performance bonuses.
- Other info: This role offers autonomy and the chance to modernise analytics strategies from day one.
- Why this job: Shape the future of analytics in a dynamic environment with real impact and visibility.
- Qualifications: Strong experience in data analysis and leadership, with skills in Python, SQL, and Excel.
The predicted salary is between 68000 - 90000 £ per year.
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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager Analytics in Manchester
✨Tip Number 1
Familiarise yourself with the specific analytics tools mentioned in the job description, such as Python, SQL, and Excel. Being able to demonstrate your hands-on experience with these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Research the company’s current analytics strategies and any recent projects they’ve undertaken. This knowledge will allow you to engage in meaningful conversations about how you can contribute to their goals and modernise their analytics approach.
✨Tip Number 3
Network with professionals in the industry, especially those who have experience in multi-site operations or retail analytics. They can provide insights into the challenges faced in this role and may even refer you internally, increasing your chances of landing the job.
✨Tip Number 4
Prepare to discuss your previous experiences where you successfully influenced business decisions through data analysis. Highlighting specific examples will showcase your ability to act as a trusted business partner, which is crucial for this position.
We think you need these skills to ace Senior Manager Analytics in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analysis, modelling, and analytics leadership. Emphasise your hands-on technical skills in Python, SQL, and Excel, as well as any relevant experience in multi-site retail or distribution environments.
Craft a Compelling Cover Letter:In your cover letter, explain why you are the perfect fit for the Senior Manager Analytics role. Discuss your ability to bridge the gap between data science and commercial strategy, and provide examples of how you've successfully led analytics initiatives in the past.
Showcase Relevant Projects:If possible, include specific projects or case studies in your application that demonstrate your analytical expertise and your impact on business decisions. This could be through predictive modelling or improving operational efficiency.
Highlight Collaboration Skills:Since the role involves working closely with various teams, make sure to highlight your collaborative skills. Mention instances where you've partnered with operations, supply chain, or finance teams to drive better decision-making.
How to prepare for a job interview at SF Technology Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python, SQL, and Excel. Bring examples of how you've used these tools to manipulate and interpret large datasets, as this will demonstrate your technical prowess and ability to deliver insights.
✨Understand the Business Context
Research the company’s operations, supply chain, and retail strategies. Showing that you understand their business model and how analytics can drive better decision-making will position you as a valuable candidate who can bridge the gap between data and commercial strategy.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about past experiences where you led analytics projects or collaborated with cross-functional teams, and be ready to explain your approach and the outcomes.
✨Demonstrate Leadership and Collaboration
As a Senior Manager, you'll need to show that you can lead and influence others. Prepare to discuss how you've successfully managed teams or projects in the past, and highlight your ability to work collaboratively across different departments to achieve common goals.
