At a Glance
- Tasks: Manage datasets and turn complex data into actionable insights for strategic decisions.
- Company: Join Costa Coffee, a global brand on a mission to reimagine coffee experiences.
- Benefits: Enjoy flexible hybrid work, competitive bonuses, and a 50% discount at Costa stores.
- Other info: Be part of a diverse team that values passion, progression, and integrity.
- Why this job: Make a real impact with data-driven insights in a fast-paced, innovative environment.
- Qualifications: Strong GIS skills and experience in data analysis; degree in relevant fields preferred.
The predicted salary is between 35000 - 45000 £ per year.
At Costa Coffee, we’re on a mission to reimagine coffee experiences across the globe. From bustling cities to local communities, we’re creating meaningful coffee moments, powered by innovation and driven by purpose. Our teams truly make a difference. With outlet expansion and agile network planning at the heart of Costa’s growth strategy, this role plays a vital part in enabling smart, data‑led decision‑making. This role supports that ambition by equipping our Growth teams with high‑quality location insight, data analysis and modelling outputs. You’ll play a key part in shaping strategic decisions through robust datasets, forecasting tools and GIS‑driven intelligence. We value curiosity, inclusivity, and a problem‑solving mindset. If you thrive in a fast‑paced, global environment and are excited to make a meaningful impact, we encourage you to apply.
What you’ll do
- Manage key datasets. Keep our network, competitor and GIS data accurate, updated and ready for decision‑making.
- Unlock insight. Turn complex data into clear, actionable insight that supports growth and location decisions.
- Support strategy. Provide data‑driven inputs that shape new propositions, market opportunities and optimisation plans.
- Engage stakeholders. Work closely with Growth, Property and wider commercial teams to ensure insights land clearly and drive the right decisions.
- Enhance data workflows. Help build smooth, scalable processes and a best‑in‑class data library that supports fast, confident decision‑making.
Who you are
- GIS and spatial analysis specialist. Strong GIS skills (e.g., QGIS) and a real passion for geographical data, mapping and spatial insight and experience within a similar retail environment.
- Degree in Geography, GIS, Economics, Data Science, Maths or similar, with enthusiasm for spatial analytics (postgraduate GIS experience a bonus).
- Technically capable analyst. Confident using SQL, Python, Tableau/PowerBI and cloud platforms, with curiosity to explore data creatively and rigorously.
- Strong data handling and workflow skills. Able to manage datasets, maintain data quality, and support smooth analytical workflows across tools and platforms.
- Clear and confident communicator and collaborator.
So, why Costa?
We didn’t become a global coffee brand by sitting back. When you work here, you join a community that values passion, progression, and integrity—with some brilliant perks to sweeten the deal. We work in a hybrid environment, giving us the flexibility to balance life while still spending meaningful time together and building strong connections:
- Own a piece of Costa’s success by becoming a share owner in Coca‑Cola with our Share Investment Plan (SIP).
- An annual discretionary bonus scheme, based on business results and individual contribution.
- A smart pension that saves you money on tax and national insurance, and matches your contributions up to 10%.
- The Costa Financial Support Fund, supporting team members who find themselves in unexpected financial pressure.
- 50% discount in all Costa‑owned stores, and 25% off in other participating stores.
- Private medical cover thanks to our Private Healthcare scheme.
We believe in living life with heart – and that starts with our people. By showing up as our authentic selves, we create a culture where everyone belongs. We celebrate diversity in all its forms and are committed to building an equitable and inclusive environment—one that embraces the unique blend of experiences, identities, and perspectives each person brings. This rich diversity strengthens our teams and reflects the spirit of our global brand. Grounded in our core values—Passion for Progress, Win with Warmth, Courage to Challenge, and Trusted Team Players—we strive to make a meaningful impact in everything we do. From empowering communities through the Costa Foundation to supporting local initiatives, we’re committed to changing lives in coffee‑growing regions and right here at home.
Location Strategy Analyst in England employer: Costa Limited
At Costa Coffee, we pride ourselves on being an exceptional employer that fosters a culture of passion, progression, and inclusivity. Located at the Loudwater Innovation Centre near High Wycombe, our team enjoys a hybrid work environment, competitive benefits including a share ownership plan, and opportunities for personal and professional growth. Join us to make a meaningful impact in a dynamic global brand that values your unique contributions and supports your career journey.
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We think this is how you could land Location Strategy Analyst in England
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We think you need these skills to ace Location Strategy Analyst in England
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 Costa Limited, 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 Costa Limited. 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 Costa Limited
✨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 Costa Limited!
✨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.
