At a Glance
- Tasks: Transform complex data into meaningful insights and drive performance improvements.
- Company: Market-leading organisation with a focus on data-driven decision-making.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on enhancing analytics capabilities.
- Why this job: Make a real impact by shaping how data drives business success.
- Qualifications: Experience in BI, analytics, and strong interpersonal skills required.
The predicted salary is between 37035 - 45265 £ per year.
A market leading organisation is seeking a personable and analytical Data & Analytics Manager to join its team based in Stoke-on-Trent.
Please note, this role is hybrid - 3 days in the office and 2 from home.
This is a business-critical position offering the opportunity to shape how the organisation uses data to drive performance, improve decision-making, and support future growth.
It will suit someone who enjoys transforming complex information into meaningful insights and helping stakeholders make smarter, evidence-based decisions.
You will take ownership of the organisations business intelligence and reporting landscape, ensuring information is accurate, accessible, and effectively managed while identifying opportunities to enhance analytics capabilities and reporting processes.
Working closely with teams across the business, you will gain a strong understanding of operational and strategic objectives and deliver insights that improve efficiency, performance, and business outcomes.
Alongside the day-to-day management of reporting, analytics, and data quality initiatives, you will contribute to wider projects aimed at improving the use of data across the organisation.
You will also act as a trusted point of contact for stakeholders, helping teams maximise the value of data through effective reporting, analysis, and performance measurement.
To be considered for this role, you must possess a strong blend of technical capability, commercial awareness, and excellent interpersonal skills.
You should be comfortable working with large datasets, developing dashboards and reports, and presenting insights to both technical and non-technical audiences.
Strong analytical skills, attention to detail, and a proactive approach to problem-solving are essential.
This role would suit an experienced BI, analytics, or reporting professional who enjoys variety, collaboration, and having a genuine impact on business performance.
Previous experience with business intelligence, analytics, reporting, and data management is highly desirable, alongside exposure to tools such as SQL, Power BI, Excel, or similar analytics platforms.
This is an excellent opportunity to join a successful and evolving organisation where you can make a visible impact and help shape the future of data-driven decision-making.
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Data & Analytics Manager in Stoke-on-Trent employer: Ashdown
Join a market-leading organisation in Stoke-on-Trent as a Data & Analytics Manager, where you will thrive in a hybrid work environment that promotes flexibility and work-life balance. With a strong focus on employee growth, you will have the opportunity to shape data-driven decision-making while collaborating with diverse teams to enhance business performance. The company fosters a culture of innovation and support, ensuring that your contributions are valued and impactful in driving the organisation's success.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Manager in Stoke-on-Trent
✨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 Ashdown!
✨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 & Analytics Manager at Ashdown.
✨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 Ashdown.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Analytics Manager at Ashdown, 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 & Analytics Manager in Stoke-on-Trent
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 Ashdown, 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 Ashdown. 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 Ashdown
✨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 Ashdown!
✨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.
