At a Glance
- Tasks: Transform data into insights that drive smart commercial decisions.
- Company: Join Alpkit, an independent outdoor brand with a passion for bettering the world.
- Benefits: Enjoy extra holiday, discounts, life insurance, and a supportive learning culture.
- Other info: Collaborate closely with teams and grow your career in a fast-paced setting.
- Why this job: Make a real impact by turning numbers into actionable insights in a dynamic environment.
- Qualifications: Strong analytical skills, Excel proficiency, and a curiosity for data and business performance.
The predicted salary is between 36000 - 44000 £ per year.
Location: Alpkit Campus, NG16 3SU
Hybrid – at least 60% Campus based
Hours: 37.5 hours per week
Salary: c.£26,227.50
We’re looking for someone who loves getting underneath the numbers. Someone who doesn’t just want to tell us what happened but wants to understand why it happened and what we should do next. As our Decision Support Analyst, you’ll help turn data into useful insight that supports better commercial decisions across Alpkit. This is a great role for a graduate or early-career analyst who wants to learn the ropes of commercial analysis in a real, fast-moving business.
You’ll work with teams across Retail, E-commerce, Marketing, Factory and Finance, helping us understand sales, stock, customers and performance and making that information simple enough for people to use for commercial decision making.
What you’ll be doing
- Build and maintain reports and dashboards that show us what’s really happening.
- Analyse sales, stock, customer and trading trends.
- Spot opportunities, risks and changes in performance.
- Help teams understand the story behind the numbers.
- Support commercial decisions with clear, useful analysis.
- Answer questions from across the business with accurate data and insight.
- Help improve data for forecasting, planning and performance reviews.
- Keep reporting accurate, simple and easy to use.
- Get to know Alpkit’s products, customers, channels and what drives our business.
This isn’t a role where you’ll sit quietly producing spreadsheets that nobody reads. We want you to ask questions, be curious, challenge assumptions and help people make better decisions.
What we’re looking for
We’re interested in someone who has strong analytical foundations, commercial curiosity and the desire to learn and grow with the business. You’ll ideally have:
- Strong numerical and analytical skills.
- Good Excel skills, including formulas and Pivot Tables.
- Strong understanding of data modelling using Generative and open source AI models.
- An interest in data, customers and business performance.
- Great attention to detail.
- The confidence to ask questions and dig deeper.
- The ability to explain numbers simply.
- A proactive and collaborative approach.
- A willingness to learn quickly and take on more responsibility over time.
- Experience in retail, e-commerce or analytics would be useful, but mindset matters just as much.
What success looks like
You’ll help us make better decisions, faster. Teams will trust the data and models you provide, understand performance more clearly and use your insight to decide where to focus next. Over time, we’d expect you to become someone people come to not just for a number, but for an informed view on what that number means.
Why Alpkit?
We make gear for getting outside. We’re an independent outdoor brand with a restless approach to doing things better – better products, better service, better decisions and a better impact. That means we value people who are curious, practical and happy getting stuck in. You won’t be several layers removed from the business here. You’ll work closely with the people making decisions every day, see the impact of your work and have plenty of opportunity to develop your commercial and analytical skills.
If you enjoy turning data into answers – and answers into action – we’d love to hear from you.
Perks of the job
Ability to buy extra holiday, Alpkit discount for you, your family and friends, life insurance, critical illness cover, credits for Green Commute methods, cycle to work scheme, paid volunteer days and we are environmentally and sustainability conscious and we promote a learning culture.
We value all cultures, backgrounds, and experiences, Alpkit is an equal opportunity employer and welcomes everyone to our team, so be yourself, join our community and help us “go nice places and do good things.” If you need reasonable adjustments at any point in the application or interview process, please let us know. In your application, please feel free to note which pronouns you use (For example - she/her, he/him, they/them, etc). If you think you would like to work in our warehouse, get in touch telling us why you think you’d fit in well at Alpkit along with your CV.
Decision Support Analyst in Derby employer: Alpkit
At Alpkit, we pride ourselves on being a Living Wage Foundation Employer, offering a vibrant work culture that celebrates adventure and community. Our hybrid working model allows for flexibility, while generous benefits such as extra holiday purchase, a cycle-to-work scheme, and opportunities for personal growth ensure that our employees thrive both professionally and personally. Join us in making a difference and enjoy the unique advantage of working in a passionate team dedicated to promoting outdoor experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Decision Support Analyst in Derby
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Alpkit.
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We think you need these skills to ace Decision Support Analyst in Derby
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Alpkit, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Alpkit. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Alpkit
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Alpkit!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
