At a Glance
- Tasks: Lead a team to harness customer data for engagement and decision-making.
- Company: Join a well-known brand in the South West with a hybrid working model.
- Benefits: Competitive salary, bonus, and flexible working arrangements.
- Other info: Opportunity to work in a dynamic environment with a focus on data innovation.
- Why this job: Shape data strategies that enhance customer experiences and drive business success.
- Qualifications: Experience in customer data, marketing, and team leadership required.
The predicted salary is between 70000 - 90000 £ per year.
We're partnering exclusively with a household name in the South West to recruit a Customer Data Lead to help shape how data is used to support customer engagement and internal decision-making. This role sits across data, digital and marketing, with responsibility for leading a team and working closely with a range of stakeholders to deliver data-led solutions.
The Role
- Develop approaches for using customer data to support engagement activity
- Contribute to plans relating to personalisation and communications
- Oversee the management of data used across customer channels
- Identify opportunities where data can support improved customer and business outcomes
- Work with teams across marketing, technology and other areas to build advocacy for a data-led approach, ensuring activity aligns with internal governance, compliance and security requirements
- Lead and support a team focused on data and activation delivery
- Manage and prioritise work based on business needs and available data
- Act as a key contact point between teams using data for engagement
We're Looking For
- Experience working with data to support customer engagement or marketing activity
- Understanding of how customer data is used across digital or communication channels
- Experience leading or supporting teams delivering data-related work
- Ability to work with a range of stakeholders across different functions
- Awareness of data governance, consent and regulatory considerations for customer data and communications
- Experience working in environments involving data platforms or marketing technology
- Ability to manage priorities and balance multiple pieces of work
- Experience in specific tooling and technology is not essential, but the successful candidate will have had deep experience of Cloud Data Analytics Platforms and CRM/ Engagement Platforms.
If this role is of interest, please apply below!
Customer Data Lead employer: Sanderson Recruitment
Join a leading household name in the South West as a Customer Data Lead, where you will thrive in a dynamic hybrid working environment that promotes collaboration and innovation. With a strong focus on employee growth, you will have the opportunity to lead a talented team while shaping data strategies that enhance customer engagement and drive business success. Enjoy a competitive salary, bonus, and benefits package, all within a supportive culture that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Lead
✨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 Sanderson Recruitment!
✨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 Customer Data Lead at Sanderson Recruitment.
✨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 Sanderson Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Customer Data Lead at Sanderson Recruitment, 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 Customer Data Lead
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 Sanderson Recruitment, 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 Sanderson Recruitment. 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 Sanderson Recruitment
✨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 Sanderson Recruitment!
✨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.
