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- Tasks: Manage and analyse customer data to optimise quality and support marketing strategies.
- Company: Beaverbrooks is a family-run jeweller with a rich history and a commitment to enriching lives.
- Benefits: Enjoy 33 days holiday, private healthcare, pension, discounts, and a profit share bonus.
- Why this job: Join a supportive team that values your contributions and offers a positive work culture.
- Qualifications: Experience in data management, knowledge of CRM systems, and strong analytical skills required.
- Other info: This role is perfect for those passionate about data integrity and customer insights.
The predicted salary is between 40000 - 60000 £ per year.
We are excited to announce a newly created job role to join our Beaverbrooks eCommerce team as a Customer Data Manager. This would be a fantastic opportunity for someone with experience in a data management/data analytics role.
As our Customer Data Manager, you will be responsible for the management and analysis of customer data. You will be passionate about data security and integrity, continually striving to ensure data quality is optimised. You will collaborate closely with our Tech team to enhance data collection processes and support the broader company objective of establishing a reliable, single source of truth.
Main Responsibilities- Oversee and optimise the flow of customer data between various key systems and channels
- Ensure a robust, efficient and seamless method of customer data collection across all channels
- Optimise data health/integrity through consistent, best-practice approaches to data cleansing
- Conduct in-depth analysis to identify trends and insights which can inform CRM activity
- Upon request, produce ad-hoc reports for the CRM and wider Marketing teams to enable targeting and decision-making
- Develop strategies for segmentation to enable a personalised approach to marketing activity
- Develop a suite of reports and/or dashboards to keep stakeholders informed of customer KPIs around acquisition, retention and customer behaviour
- Work with the Tech team and developers to optimise the integration of customer data from multiple sources
About Beaverbrooks: Established in 1919, we have 79 locations across the UK. This includes 57 Beaverbrooks stores & 22 dedicated brand boutiques, including TAG Heuer, OMEGA, Breitling & Tudor. We also have 3 Loupe boutiques, with Rolex showrooms.
We are a family business. And you can tell that when you get here. It feels like family. From the very smallest details to the big important things. Our core purpose is to enrich lives. We aim to make a positive difference to the world we live in. This includes our colleagues, customers, suppliers & the wider community.
As a company, we are true to our word. When we say we are going to do something, we go all out to do it. And every individual is truly valued.
The awards we’ve been given as an employer speak volumes about what it’s like to work here, some of which are:
- Retail's 3rd Best Company to Work For - Best Companies 2024
- We have been awarded a 3 star accreditation for 'World Class levels of Engagement' for 19 years running - Best Companies 2024 - based on colleague feedback.
- 'Employer of the Year 2024 - The UK Jewellery Awards
Amazing benefits for amazing people: They say you get out what you put in. And, at Beaverbrooks, our people put in so much. In return, just some of the benefits we offer include:
- 33 days holidays (including bank holidays, pro rata)
- BUPA Private healthcare
- Contributory Pension & Life Assurance
- Outstanding colleague discounts, which extend to your family & friends
- Wellbeing scheme
- Employee & family support & counselling in partnership with the Retail Trust
- A variety of different schemes to help you support charities close to your heart
- Office profit share bonus
ESSENTIAL SKILLS
- Ability to demonstrate the values and behaviours of the Beaverbrooks Way
- Experience in a data management/data analytics role
- Knowledge of retail-focussed CRM & CDP systems
- Strong understanding of data integration methodologies
- Hands-on experience with analytics and BI platforms
- Knowledge of SQL and the ability to query customer databases
- Proven ability to influence others around data health, quality and best-practices
- Impeccably high attention-to-detail and accuracy
- Understanding of CRM segmentation and modelling strategies
- Excellent communication and presentation skills
- Strong understanding of data legislation and privacy regulations (GDPR etc.)
DESIRABLE SKILLS
- Experience working in a multi-channel retail environment
- Knowledge of Bloomreach CDP
- Awareness of how AI-driven tech is being used to enhance data cleansing and modelling
- Experience with AB testing strategies in a CRM capacity
- Familiarity with eCommerce platforms (e.g. CommerceTools)
Beaverbrooks - the hallmark of amazing people.
Customer Data Manager in Lytham St. Annes employer: Beaverbrooks
Contact Detail:
Beaverbrooks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Manager in Lytham St. Annes
✨Tip Number 1
Familiarise yourself with the specific data management and analytics tools mentioned in the job description, such as SQL and BI platforms. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your readiness for the role.
✨Tip Number 2
Research Beaverbrooks' values and culture, particularly 'The Beaverbrooks Way'. Tailor your responses in interviews to reflect how your personal values align with theirs, showcasing your fit within their family-oriented environment.
✨Tip Number 3
Prepare examples of how you've successfully managed customer data integrity and quality in previous roles. Be ready to discuss specific challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends in data legislation and privacy regulations, especially GDPR. Being knowledgeable about these topics will not only help you in the role but also show your commitment to data security during the interview process.
We think you need these skills to ace Customer Data Manager in Lytham St. Annes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management and analytics. Use keywords from the job description, such as 'data integrity', 'CRM', and 'data cleansing' to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it aligns with Beaverbrooks' values. Mention specific examples of how you've optimised data processes or improved data quality in previous roles.
Showcase Your Skills: Highlight your technical skills, especially in SQL and analytics platforms. Provide examples of how you've used these skills to influence data health and decision-making in past positions.
Research the Company Culture: Familiarise yourself with Beaverbrooks' core values and culture. Reflect this understanding in your application by mentioning how you align with their commitment to enriching lives and valuing individuals.
How to prepare for a job interview at Beaverbrooks
✨Show Your Passion for Data
Make sure to express your enthusiasm for data management and analytics during the interview. Share specific examples of how you've successfully managed customer data in the past, and highlight your commitment to data security and integrity.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with data integration methodologies and analytics platforms. Brush up on SQL queries and be ready to explain how you've used these skills to improve data quality and inform marketing strategies.
✨Understand the Company Culture
Familiarise yourself with Beaverbrooks' values and the 'Beaverbrooks Way'. During the interview, align your answers with their core purpose of enriching lives and making a positive difference, showing that you would be a great cultural fit.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle data-related challenges. Think of scenarios where you've optimised data flow or improved data health, and be ready to discuss the outcomes and insights gained from those experiences.
