At a Glance
- Tasks: Manage and analyse customer data to enhance engagement strategies and improve customer experience.
- Company: Join a growing, customer-focused organisation in the Northwest with a collaborative culture.
- Benefits: Enjoy hybrid working, private medical cover, bonuses, and a competitive holiday allowance.
- Other info: Great career progression opportunities in a supportive team environment.
- Why this job: Shape future marketing strategies while working with large datasets and cutting-edge BI tools.
- Qualifications: Experience with SQL, BI tools, and strong stakeholder engagement skills required.
The predicted salary is between 50000 - 50000 £ per year.
Opportunity for a Customer Data & Insights Manager to join a growing, customer-focused organisation in the Northwest.
Salary up to £50,000 + bonus + strong benefits package.
Key position sitting between data, CRM and marketing with regular stakeholder interaction.
We are working with an established organisation currently investing in its digital and customer capabilities as part of ongoing growth. Operating across multiple channels, the business is focused on improving how it uses customer data to better understand behaviour, refine engagement strategies, and enhance overall customer experience. They offer a collaborative, people-focused environment and are looking for someone to take ownership of customer data processes, insight delivery, and reporting, playing an important role in shaping future customer and marketing strategy.
THE BENEFITS
- Hybrid working (3 days per week in the office)
- Private medical cover
- Bonus / performance-related incentives
- Competitive holiday allowance
- Employee perks and discount schemes
- Wellbeing initiatives and support services
- Pension and life cover
- Supportive team culture with progression opportunities
- And much more!
THE CUSTOMER DATA AND INSIGHTS MANAGER ROLE:
This is a hands-on role focused on improving and managing the quality, structure, and accessibility of customer data across internal platforms. You'll work with large and complex datasets, ensuring data is accurate, consistent, and fit for use in reporting and customer engagement activity. The role involves analysing customer data to uncover trends, patterns, and opportunities, while supporting internal teams with insight-led recommendations and reporting. You'll also contribute to segmentation strategies, develop dashboards (e.g. Power BI, Tableau), and support better decision-making across customer acquisition, retention, and engagement. Working closely with technical teams, you'll help improve how data is integrated across systems, ensuring efficient data flow and strong governance practices. This role requires strong stakeholder engagement, with the ability to influence data best practice and clearly communicate insights to non-technical audiences.
CUSTOMER DATA AND INSIGHTS MANAGER ESSENTIAL SKILLS
- Experience working with SQL and querying customer datasets
- Practical experience using BI tools (e.g. Power BI, Tableau)
- Understanding of CRM platforms and customer data environments
- Experience handling large volumes of data with a focus on accuracy
- Strong attention to detail and data quality standards
- Ability to interpret data and provide meaningful insights
- Confident communicator with stakeholder engagement experience
- Knowledge of data governance and privacy regulations
TO BE CONSIDERED:
Please either apply through this advert or email me directly.
By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only.
KEY SKILLS
- SQL
- Customer Data
- CRM
- Data Analysis
- BI Tools
- Power BI
- Tableau
- Segmentation
- Data Quality
- Data Governance
Customer Data and Insights Manager in Oxford employer: Searchability
Join a dynamic and customer-centric organisation in the Northwest as a Customer Data and Insights Manager, where you will thrive in a collaborative environment that prioritises employee wellbeing and professional growth. With a competitive salary, hybrid working options, and a robust benefits package including private medical cover and performance-related bonuses, this role offers a unique opportunity to shape customer engagement strategies while working with cutting-edge data tools. Embrace the chance to influence key business decisions and develop your career in a supportive team culture that values innovation and insight-driven approaches.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data and Insights Manager in Oxford
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We think you need these skills to ace Customer Data and Insights Manager in Oxford
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Searchability. 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 Searchability
✨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
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✨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.
