At a Glance
- Tasks: Extract, analyse, and present data from complex databases using various tools.
- Company: Join a large public body making a significant impact in the community.
- Benefits: Enjoy a hybrid work model with potential for extension beyond 3 months.
- Other info: Full driving licence needed; disability accommodations available.
- Why this job: Perfect for analytical minds wanting to make a difference with data.
- Qualifications: 4 years of experience or relevant degree/diploma in a related field required.
The predicted salary is between 28800 - 48000 £ per year.
We are working with a large public body to seek a highly skilled and motivated Data Analyst. The successful candidate will be responsible for the extraction, analysis, and presentation of data from complex databases and datasets. This role requires a strong analytical background and proficiency in using various analysis and query tools in a practical work environment.
Key Responsibilities
- Extract data from complex databases/datasets using analysis and query tools.
- Analyse, interpret, and present complex statistical information from a range of systems and sources.
- Utilize Microsoft Office suite programs (Word, Excel, PowerPoint, Access, Outlook, Teams) to manage and present data.
- Communicate effectively both verbally and in writing.
- Plan and organize tasks efficiently to meet deadlines.
Essential Criteria
- 4 years' experience in data extraction, analysis, and presentation from complex databases/datasets using analysis and query tools in a practical work environment.
- OR Diploma for Accounting Technicians (ATI) or equivalent (Level 5 qualification) with 2 years' experience in data extraction, analysis, and presentation from complex databases/datasets using analysis and query tools in a practical work environment.
- OR An honours degree in Finance, Accounting, Economics, Mathematics, Statistics, Data Science, Information Technology, or other relevant discipline.
- Proficient in Microsoft Office suite programs.
- Hold a current full driving licence valid for use in the UK and have access to a car upon appointment. This criterion will be waived for applicants whose disability prohibits driving but who have access to approved transport to carry out the duties of the post.
This role will be a hybrid role in Newtownards. Although the role is initially for a 3-month period there is a high possibility of an extension.
If you're interested in this role, please forward an up-to-date copy of your CV or call me on (phone number removed). If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
Data Analyst in Belfast employer: Hays Technology
As a leading public body, we pride ourselves on fostering a collaborative and inclusive work culture that values the contributions of every employee. Our Data Analyst role offers not only competitive benefits and a hybrid working model in the picturesque Newtownards but also ample opportunities for professional growth and development within a supportive environment. Join us to make a meaningful impact while enjoying a fulfilling career with a commitment to excellence and community service.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Belfast
✨Tip Number 1
Familiarise yourself with the specific analysis and query tools mentioned in the job description. If you have experience with tools like SQL, Python, or R, be ready to discuss how you've used them in past roles.
✨Tip Number 2
Brush up on your Microsoft Office skills, especially Excel and PowerPoint. Be prepared to showcase your ability to manage and present data effectively using these tools during any interviews.
✨Tip Number 3
Prepare examples of complex datasets you've worked with in the past. Think about how you extracted, analysed, and presented this data, as real-world examples can demonstrate your expertise.
✨Tip Number 4
Since this role is hybrid, consider how you can effectively communicate and collaborate in a remote setting. Highlight any previous experience you have with remote work or using collaboration tools like Teams.
We think you need these skills to ace Data Analyst in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data extraction, analysis, and presentation. Use specific examples that demonstrate your proficiency with analysis and query tools, as well as your familiarity with the Microsoft Office suite.
Craft a Strong Cover Letter:Write a cover letter that clearly outlines your relevant experience and skills. Mention your analytical background and how it aligns with the responsibilities of the Data Analyst role. Be sure to express your enthusiasm for the position and the company.
Showcase Relevant Skills:In your application, emphasise your ability to communicate complex statistical information effectively. Provide examples of how you've successfully managed tasks and met deadlines in previous roles.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst.
How to prepare for a job interview at Hays Technology
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've extracted and analysed data in previous roles. Be ready to explain the tools you used and the impact your analysis had on decision-making.
✨Demonstrate Proficiency in Microsoft Office
Since the role requires using Microsoft Office suite programs, brush up on your skills in Excel, PowerPoint, and Access. Consider preparing a short presentation or report that showcases your ability to manage and present data effectively.
✨Communicate Clearly
Effective communication is key for this role. Practice explaining complex statistical information in simple terms, as you may need to present your findings to non-technical stakeholders during the interview.
✨Plan and Organise Your Responses
Given the importance of meeting deadlines in this role, be prepared to discuss how you prioritise tasks and manage your time. Use the STAR method (Situation, Task, Action, Result) to structure your answers when discussing past experiences.
