At a Glance
- Tasks: Analyse data to drive insights and support strategic decisions in a fast-paced retail environment.
- Company: Join Angling Direct, the UK's leading fishing tackle retailer with ambitious growth plans.
- Benefits: Competitive salary, generous staff discount, and excellent career development opportunities.
- Other info: Enjoy hybrid working flexibility and be part of a collaborative, growing team.
- Why this job: Make an impact by transforming data into actionable insights and shaping business strategies.
- Qualifications: A-Level education or above, strong analytical skills, and experience with retail analytics.
Location: Norwich (Hybrid Working Available)
Hours: Full Time, 40 Hours per Week
Salary: Up to £31,000 per annum, depending on experience
Join the UK's Leading Fishing Tackle Retailer
Angling Direct PLC is the UK's leading omnichannel fishing tackle retailer, operating 57 stores across the UK, a thriving online business, and an expanding presence across Europe.
Founded in Norfolk in 1986 and listed on the London Stock Exchange's AIM market since 2017, we have ambitious growth plans and a clear purpose: "Get Everyone Fishing." We are passionate about helping anglers at every stage of their fishing journey by providing market-leading products, outstanding service and expert advice in a socially responsible and environmentally sustainable way.
Following strong business performance, including UK store sales growth of 15.4%, online growth of 21.2% and overall revenue growth of 17.0%, we're looking for a commercially minded and data-driven Commercial Insights Analyst to help support our next stage of growth.
This is a full-time position working 40 hours per week, offering hybrid working flexibility around our Norwich Head Office. It is an exciting opportunity for someone who enjoys turning data into meaningful business insight, helping shape strategic decisions and driving operational performance across a fast-paced retail environment.
Please note that Angling Direct is unable to offer visa sponsorship for this position. Applicants must have the right to work in the UK at the time of application and for the duration of their employment.
The Role
Working closely with our Commercial, Retail, Supply Chain and Marketing teams, you will analyse sales and operational performance, support forecasting and planning processes, and provide valuable insights that help maximise sales, stock efficiency and profitability.
You will play a key role in transforming complex data into actionable recommendations while supporting the business in developing more automated and AI-driven reporting capabilities.
Key Responsibilities
- Analyse sales, inventory and customer data across categories, channels and markets to identify trends, risks and opportunities.
- Support forecasting and demand planning activities, ensuring forecasts align with commercial objectives and business strategy.
- Translate complex datasets into clear, meaningful insights and recommendations for stakeholders.
- Produce regular and ad hoc reporting on sales performance, stock levels, promotional activity and commercial KPIs.
- Identify opportunities to improve and automate reporting processes through technology and AI solutions.
- Monitor UK and European market trends, competitor activity and customer behaviour to support pricing, range and promotional strategies.
- Develop engaging dashboards and visual reports using tools such as Excel, Power BI and customer insight platforms.
- Support strategic business decision-making through data-driven analysis and recommendations.
About You
You'll be naturally curious, highly analytical and comfortable working with large volumes of data. You'll enjoy solving problems, identifying trends and communicating findings in a way that drives action.
We're looking for someone who can demonstrate:
- Ideally educated to A-Level standard or above, preferably with a degree in Business, Economics, Data Science, Analytics, Marketing or a related field.
- Experience working with retail analytics platforms such as IRI, Nielsen or ERP systems.
- Strong analytical and quantitative skills with advanced Excel and Power BI capability.
- Experience working with shopper or customer data platforms and translating complex datasets into actionable commercial insights.
- Excellent communication, presentation and stakeholder engagement skills.
- Meticulous attention to detail and strong organisational ability.
- Previous experience within retail S&OP planning, category management, demand planning or FMCG environments.
- Familiarity with SQL or similar data querying languages would be advantageous.
- Understanding of retail operations, merchandising and stock management principles.
- A passion for angling and/or the outdoors would be highly desirable.
Why Join Angling Direct?
- Be part of a successful and growing market-leading retailer.
- Influence key commercial and strategic decisions across the business.
- Work with modern reporting, analytics and AI technologies.
- Opportunity to lead improvements in automation and business intelligence.
- Full-time permanent position working 37 hours per week.
- Hybrid working with flexibility around our Norwich Head Office.
- Competitive benefits package.
- Generous staff discount.
- Excellent opportunities for career development and progression.
- Work within a collaborative, ambitious and fast-growing environment.
Apply Today
If you're passionate about data, commercial insight and helping drive business growth, we'd love to hear from you.
Join us and help shape the future of Europe's leading specialist fishing tackle retailer as we continue our mission to Get Everyone Fishing.
Planning Analyst, UK & Europe - Hybrid- Fulltime in Rackheath employer: Premium site
Angling Direct is an exceptional employer for those passionate about fishing, offering a collaborative and supportive work environment in the heart of Bristol. As a Store Manager, you will lead a dedicated team while enjoying generous employee benefits, including significant staff discounts and opportunities for career development. Join us to inspire fellow anglers and contribute to our mission of delivering outstanding service and expert advice in the angling industry.
StudySmarter Expert Advice🤫
We think this is how you could land Planning Analyst, UK & Europe - Hybrid- Fulltime in Rackheath
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Premium site!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Planning Analyst, UK & Europe - Hybrid- Fulltime at Premium site.
✨Leverage Professional Networks
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 Premium site.
✨Apply Directly through Our Website
When you find a suitable opening like Planning Analyst, UK & Europe - Hybrid- Fulltime at Premium site, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Planning Analyst, UK & Europe - Hybrid- Fulltime in Rackheath
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 Premium site, 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 Premium site. 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 Premium site
✨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 Premium site!
✨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.
