At a Glance
- Tasks: Analyse patient data to create impactful marketing strategies and enhance customer experience.
- Company: Join Boots, a leading health and beauty retailer with a focus on collaboration and growth.
- Benefits: Enjoy generous discounts, retirement savings plan, and enhanced leave options.
- Other info: Be part of a supportive team that champions inclusion and personal development.
- Why this job: Make a real difference by shaping personalised marketing communications with data insights.
- Qualifications: Numerate thinker with a passion for data; coding skills in SQL, R, or Python are a plus.
The predicted salary is between 40500 - 49500 £ per year.
As a Clinical CRM Analyst, you will be at the forefront of our Data Science and Analytics team, utilising patient data and Boots Advantage Card insights to create actionable marketing strategies. Your analytical skills will help shape our personalised marketing communications, ensuring we deliver the right message to the right audience.
- Analyse data from multiple sources to identify target audiences for marketing campaigns.
- Collaborate with stakeholders to explain the drivers behind campaign selections and performance.
- Present your findings in a clear and engaging manner, helping to shape future strategies that enhance our customer experience.
What We're Looking For
We seek a numerate and logical thinker with a passion for personalisation and insight. You should have:
- Relevant experience or a degree with quantitative elements (e.g., Maths, Physics, Psychology).
- Strong problem-solving skills and the ability to communicate complex data stories effectively.
- A collaborative spirit and a keen eye for detail.
If you have experience with coding languages like SQL, R, or Python, or familiarity with data visualisation tools such as PowerBI, that would be a bonus!
Why Boots?
At Boots, we believe in building a brilliant workplace for our people. Our Employer Value Proposition is centred around collaboration, trust, and growth. Here's what you can expect:
- We're more together: Join a team that supports and achieves more collectively.
- We believe in you: Your work has meaning, and you'll be trusted to make a difference.
- We make progress: Learn something new every day and use your voice to drive change.
- We're with you: Enjoy the backing of supportive managers and tools to help you thrive.
- We belong here: Champion inclusion and create a welcoming culture for everyone.
Benefits
We offer a range of benefits to support you:
- Boots Retirement Savings Plan (up to 12% company contribution)
- Generous employee discounts for you and a family member
- Enhanced maternity/paternity/adoption leave pay
Clinical CRM Analyst – Data Science & Analytics in London employer: Boots
Boots is an exceptional employer, offering a vibrant work culture in Glasgow where you can thrive as a Wellness Solutions Advisor. With comprehensive training and opportunities to complete a Healthcare Training Programme, you'll be empowered to grow your skills while making a meaningful impact on customers' health and wellness journeys. Join a supportive team that values your contributions and fosters personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Clinical CRM Analyst – Data Science & Analytics in London
✨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 Boots!
✨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 Clinical CRM Analyst – Data Science & Analytics at Boots.
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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 Boots.
✨Apply Directly through Our Website
When you find a suitable opening like Clinical CRM Analyst – Data Science & Analytics at Boots, 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 Clinical CRM Analyst – Data Science & Analytics in London
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 Boots, 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 Boots. 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 Boots
✨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 Boots!
✨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.
