At a Glance
- Tasks: Manage customer databases and drive insights for marketing strategies.
- Company: Join a dynamic team at Hawkstone, a fast-growing alcohol brand in the Cotswolds.
- Benefits: Enjoy autonomy, flexible work, and the chance to innovate with data.
- Why this job: Be part of a passionate team, enhancing customer engagement and driving growth.
- Qualifications: Bachelor's degree in a STEM field or equivalent experience in database management.
- Other info: Ideal for data-driven individuals eager to learn and grow in a startup environment.
The predicted salary is between 36000 - 60000 £ per year.
The marketing team is based in London, while the Hawkstone HQ is in the Cotswolds. You’ll be working with a small dynamic team of entrepreneurially minded individuals – including a marketing Platform Product Manager (Klaviyo), a CRM Campaign Manager and a passionate email creative team – and work closely with the Commercial team and experienced data analysts.
You’ll have a lot of autonomy, and ownership of the end to end data management process, as well as managing third party agencies to ensure GDPR compliance and contribute to our B2B data and lead management strategy to drive higher levels of effectiveness.
Key Responsibilities
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Own customer (including CRM, both consumer and trade) databases, customer data warehouse and dashboards driving customer insights
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Manage all data platforms and agency feeds, ensuring accuracy and seamless functionality
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Define and lead the strategic use of data to enhance engagement and revenue growth, including via our subscription & loyalty propositions
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Leverage 1st-party data and customer segmentation for impactful marketing insights and reporting
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Drive 1st-party data acquisition strategies and ensure data accessibility in collaboration with the Platform Product Lead
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Identify opportunities to apply AI and machine learning for personalization and improved targeting within CRM (Klaviyo)
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Optimize data usage to enhance B2B lead booking and conversion processes
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Establish measurement frameworks to track CRM performance and KPIs effectively
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Automate reporting to monitor purchase growth, campaign performance, segment value migration, and customer loyalty
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Bachelor’s degree or equivalent level in a STEM subject (Data Science, Economics, Econometrics, Computer Science, Statistics, Mathematics) or equivalent quantitative subject area or business based discipline
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Experience in a database manager role for a consumer brand, ideally in FMCG (especially alcohol) and/or high growth start ups
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Data and results-driven individual
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Drive to learn new things daily
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Eagerness to grow
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High attention to detail and accuracy
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Excellent communication skills, both written and verbal, with the ability to articulate reporting to stakeholders of all levels
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Comfortable working in the fast-paced nature of a start-up alcohol brand, including the ability to work flexibly, and at times under pressure, to meet deadlines and priorities
Customer Data Manager employer: Hawkstone
Contact Detail:
Hawkstone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Manager
✨Tip Number 1
Familiarize yourself with Klaviyo and other CRM tools that are commonly used in the industry. Understanding how to leverage these platforms will not only help you in your role but also show us that you're proactive and ready to hit the ground running.
✨Tip Number 2
Highlight any experience you have with data management, especially in consumer brands or high-growth startups. We value candidates who can demonstrate their ability to manage databases effectively and drive insights from data.
✨Tip Number 3
Showcase your understanding of GDPR compliance and data privacy regulations. As you'll be managing customer data, it's crucial for us to know that you prioritize data security and ethical practices.
✨Tip Number 4
Be prepared to discuss how you've used data to drive marketing strategies in the past. We want to see your ability to translate data into actionable insights that enhance engagement and revenue growth.
We think you need these skills to ace Customer Data Manager
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Customer Data Manager position. Understand the key responsibilities and required skills, especially focusing on data management, CRM systems, and GDPR compliance.
Tailor Your CV: Customize your CV to highlight relevant experience in database management, particularly in consumer brands or high-growth startups. Emphasize your data-driven mindset and any experience with CRM platforms like Klaviyo.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data management and your eagerness to contribute to the marketing team. Mention specific examples of how you've used data to drive engagement and revenue growth in previous roles.
Highlight Communication Skills: Since excellent communication is crucial for this role, ensure you provide examples in your application that demonstrate your ability to articulate complex data insights to stakeholders at all levels.
How to prepare for a job interview at Hawkstone
✨Showcase Your Data Management Skills
Be prepared to discuss your experience with customer databases and data management platforms. Highlight specific examples where you've successfully managed data accuracy and functionality, especially in a fast-paced environment.
✨Demonstrate Your Strategic Thinking
Think about how you can leverage data for engagement and revenue growth. Be ready to share ideas on how you would define and lead the strategic use of data in this role, particularly in relation to B2B data and lead management.
✨Highlight Your Experience with AI and Machine Learning
Since the role involves identifying opportunities to apply AI and machine learning, come prepared with examples of how you've used these technologies in previous roles or how you envision using them to enhance CRM personalization.
✨Communicate Clearly and Effectively
Excellent communication skills are crucial for this position. Practice articulating complex data insights in a clear and concise manner, as you'll need to present findings to stakeholders at various levels.