At a Glance
- Tasks: Lead a team to turn data into actionable insights and improve business performance.
- Company: A leading ecommerce retailer with a focus on data-driven decision-making.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a fast-paced environment.
- Why this job: Join a dynamic team and make a real impact in the ecommerce industry.
- Qualifications: Strong experience in data analytics, SQL skills, and team leadership.
The predicted salary is between 60000 - 65000 £ per year.
A leading ecommerce retailer is hiring a
Senior Data Analyst to help drive smarter, more commercially focused decision-making across the business.
This is a hands-on senior analytics role with leadership responsibility for a small team.
You’ll build and improve reporting, data models and dashboards, while also mentoring analysts and helping stakeholders turn data into practical business decisions.
Role
Senior Data Analyst
Salary
£60,000 - £65,000
Location
- Hereford, hybrid working - 2 to 3 days per week onsite
- What you'll be doing
- Build and maintain complex data models, dashboards, reporting systems and automated analytics workflows.
- Lead and mentor a small team of Data Analysts, providing technical guidance and support.
- Turn large datasets into clear, actionable insights that improve commercial performance.
- Lead cross-functional analytics projects and help uncover opportunities for optimisation.
- Own the quality and consistency of reporting across the business.
- Manage incoming data requests, prioritise effectively and delegate work across the team.
- Improve BI tools, processes and reporting standards.
- Work closely with the Data Science Manager on the wider analytics and data roadmap.
- What you'll need
- Strong commercial experience within data analytics or business intelligence.
- Excellent SQL skills with experience querying large-scale datasets.
- Experience building dashboards, databases and reporting solutions.
- Proven ability to translate data into actionable commercial insight.
- Experience mentoring or managing junior analysts.
- Strong stakeholder management and communication skills.
- Good commercial awareness and the ability to understand wider business performance.
- Experience working with cloud data platforms and modern BI tools.
- Highly organised, proactive and comfortable managing multiple priorities.
- Nice to have
- Experience with Google Cloud Platform.
- Experience using Looker or Google Analytics.
- Background within ecommerce, retail or another high-volume consumer environment.
This role would suit an experienced Data Analyst who enjoys combining hands-on technical work with team leadership and wants to play a key role in how a data-driven ecommerce business makes decisions.
Locations
Data Analyst in Newport, Wales employer: Digital Waffle
Digital Waffle is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the energy sector. Employees benefit from ongoing professional development opportunities, competitive compensation, and a commitment to sustainability, making it a rewarding place to contribute to the UK's critical infrastructure. Join us to be part of a team that values your expertise and empowers you to make a meaningful impact on the future of energy security.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Newport, Wales
✨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 Digital Waffle!
✨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 Analyst at Digital Waffle.
✨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 Digital Waffle.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Digital Waffle, 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 Analyst in Newport, Wales
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 Digital Waffle, 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 Digital Waffle. 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 Digital Waffle
✨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 Digital Waffle!
✨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.
