At a Glance
- Tasks: Analyse data, create dashboards, and support data-driven decisions.
- Company: Leading organisation in digital innovation and business transformation.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Opportunity to work with modern analytics and AI technologies.
- Why this job: Join a dynamic team and make a real impact through data insights.
- Qualifications: Degree in Data Analytics or related field; strong SQL and analytical skills.
The predicted salary is between 36192 - 40000 £ per year.
Your New Company
Hays are partnering with a leading organisation undergoing an exciting period of business transformation and digital innovation. As part of their continued investment in data and analytics, they are seeking a Data Analyst to join their growing Business Transformation team.
Your New Role
As a Data Analyst, you will play a key role in supporting data-driven decision-making across the organisation. You'll work with business stakeholders to develop reports, analyse complex datasets, create insightful dashboards and identify opportunities for business improvement.
Key responsibilities include:
- Developing and maintaining SQL queries, datasets and reporting solutions;
- Building dashboards and KPI reporting using Power BI and related tools;
- Analysing data to identify trends, risks and opportunities;
- Collaborating with stakeholders to deliver actionable business insights;
- Supporting automation initiatives using Microsoft Power Platform;
- Contributing to AI-enabled analytics and modern data solutions;
- Ensuring data accuracy, governance and reporting standards are maintained.
What You'll Need to Succeed:
- Degree qualification in Data Analytics, Computer Science, Business, Finance or a related field;
- At least 1 year's experience in a Data Analyst or similar role;
- Strong SQL and data analysis skills;
- Advanced Excel capability;
- Excellent analytical and problem-solving skills;
- Strong attention to detail and communication skills;
- Ability to manage multiple priorities and meet deadlines.
Desirable:
- Experience with Power BI or similar BI tools;
- Knowledge of Power Apps and Power Automate;
- Exposure to Microsoft Fabric or modern data platforms;
- Understanding of data modelling and database structures.
What You'll Get in Return
- Competitive salary and benefits package;
- Opportunity to work on high-profile transformation projects;
- Exposure to modern analytics, automation and AI technologies;
- Ongoing professional development and career progression;
- Collaborative and supportive working environment;
- Chance to make a meaningful impact through data-driven business improvement.
What You Need to Do Now
If you're interested in this opportunity, click 'Apply Now' to submit your CV, or contact Hays Technology for a confidential discussion about your next career move.
Data Analyst in Newtownabbey employer: HAYS Specialist Recruitment
As a Production Operative at our company, you will be part of a dynamic and supportive team dedicated to excellence in manufacturing. We offer competitive benefits, a positive work culture that values collaboration and innovation, and ample opportunities for personal and professional growth. Located in a thriving area, our workplace fosters a sense of community and pride in producing high-quality equipment that makes a difference.
Contact Details:
HAYS Specialist Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Newtownabbey
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We think you need these skills to ace Data Analyst in Newtownabbey
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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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.
