At a Glance
- Tasks: Prepare reports, build dashboards, and analyse data trends to drive business decisions.
- Company: Join a growing organisation delivering innovative energy and building solutions across the UK.
- Benefits: Enjoy on-site parking, health cash plan, 30 days leave, and career development opportunities.
- Other info: Work in a modern office with excellent facilities and growth potential.
- Why this job: Make a real impact with hands-on data analysis in a supportive team environment.
- Qualifications: 1-2 years in data analysis, strong Power BI and Excel skills required.
The predicted salary is between 30000 - 40000 £ per year.
A great opportunity has opened for a Data Analyst to join a growing organisation delivering innovative, prefabricated energy and building service solutions across the UK. This is a FULLY on-site role, Monday-Friday, based in a modern head office environment.
The Role:
- Support the Senior Data Analyst and wider analytics team by preparing accurate reports, building dashboards, analysing trends and helping the business make data-driven decisions.
- Cleaning and preparing data using Excel, Power Query and Power BI.
- Building dashboards and visualisations.
- Analysing datasets to identify insights.
- Supporting senior managers with reporting needs.
- Improving data processes across the business.
About You:
- 1-2 years' experience in data analysis / BI.
- Strong Power BI (including DAX) and Excel skills.
- Excellent attention to detail and analytical mindset.
- Confident presenting insights to non-technical stakeholders.
- SQL, Power Automate or sector experience (engineering/construction/data centres) is beneficial but not essential.
Benefits:
- On-site parking.
- Health cash plan.
- Annual health checks.
- 30 days annual leave increasing with service.
- Training and career development.
- A supportive team culture in state-of-the-art facilities.
If you’re a data professional who enjoys being hands-on, working closely with teams and making a real impact on-site, apply today or contact the Hays Technology team for a confidential chat.
Data Analyst in Banbridge employer: HAYS Specialist Recruitment
Join a forward-thinking organisation as a Data Analyst, where you will thrive in a modern head office environment that fosters innovation and collaboration. With a strong emphasis on employee growth, you will benefit from comprehensive training, career development opportunities, and a supportive team culture, all while enjoying perks such as on-site parking, a health cash plan, and generous annual leave. This is an excellent opportunity for data professionals looking to make a meaningful impact in a dynamic industry.
Contact Details:
HAYS Specialist Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Banbridge
✨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 HAYS Specialist 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 Analyst at HAYS Specialist 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 HAYS Specialist Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at HAYS Specialist 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 Analyst in Banbridge
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 HAYS Specialist 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 HAYS Specialist 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 HAYS Specialist 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 HAYS Specialist 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.
