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.
Senior Manager Analytics in Manchester employer: SF Technology Solutions
Join a dynamic data and digital innovation company near Birmingham, where as a SQL Database Administrator, you will enjoy a culture that fosters autonomy and collaboration with senior stakeholders. With a strong focus on career development, you will benefit from a clear progression pathway, regular remuneration reviews, and a personal development scheme, all while enjoying the flexibility of hybrid working. This is an excellent opportunity for those looking to make a meaningful impact in a high-growth environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager Analytics in Manchester
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like SF Technology Solutions!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Manager Analytics in Manchester
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at SF Technology Solutions, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at SF Technology Solutions
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with SF Technology Solutions’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
