At a Glance
- Tasks: Lead data management to enhance business performance and support strategic decisions.
- Company: Growing business in Norwich with a focus on data-driven insights.
- Benefits: Salary of £50,000 - £55,000, hybrid working, and learning opportunities.
- Other info: Engage with senior leadership and enjoy excellent career development.
- Why this job: Make a real impact by transforming data into actionable insights for growth.
- Qualifications: Strong SQL skills and experience with data pipelines and governance.
The predicted salary is between 50000 - 55000 £ per year.
Overview
I am working with a growing business in Norwich to recruit a newly created Data Manager position. This is a high-impact role working closely with the senior leadership team, using data to provide clearer financial insight, improve visibility of business performance and support smarter commercial decision-making.
You will take ownership of the data function while remaining hands-on with the technical delivery. You will ensure data is reliable, accessible and well governed, while developing the reporting, warehouse and pipeline capability needed to support continued growth.
A key part of the role will involve analysing sales, prospect and audience data to identify opportunities, improve targeting and help refine the sales process. You will work closely with sales, campaign, finance and technology stakeholders, translating data into practical insight that can be acted upon.
Qualifications
- Strong SQL and data warehouse design experience
- Building and maintaining ELT/ETL data pipelines
- Cloud data platforms, ideally GCP, BigQuery and Dataflow
- Experience working with CRM, campaign, sales or audience data
- Data governance, access controls, GDPR and data quality processes
- Financial and commercial reporting or data analysis
Benefits
- Salary of £50,000 - £55,000
- Hybrid working - 1 day from home
- Learning and development opportunities
- Free onsite parking
This is an excellent opportunity for a commercially minded data professional who enjoys combining hands-on technical work with stakeholder engagement and strategic influence. Apply now for a confidential discussion.
Data Manager in Norwich employer: RaptorTech Recruitment
Join a dynamic and growing business in Norwich as a Data Manager, where you will play a pivotal role in shaping data-driven decision-making. With a competitive salary, hybrid working options, and a strong focus on learning and development, this company fosters a collaborative work culture that values employee growth and innovation. Enjoy the unique advantage of free onsite parking while contributing to meaningful projects that directly impact business performance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager in Norwich
✨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 RaptorTech 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 Data Manager at RaptorTech 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 RaptorTech Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Manager at RaptorTech 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 Data Manager in Norwich
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 RaptorTech 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 RaptorTech 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 RaptorTech 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 RaptorTech 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.
