At a Glance
- Tasks: Transform data usage across the College and create insightful BI reports.
- Company: Join a forward-thinking educational institution focused on data-driven decisions.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data literacy and continuous improvement.
- Why this job: Make a real impact by driving an insight-led culture with modern BI tools.
- Qualifications: HNC or Degree level in a relevant field and experience in Business Intelligence.
The predicted salary is between 34074 - 36666 £ per year.
Hours: 35 hours per week
Salary: DA8, £34,074 - £36,666 per annum
Campus: Gardyne Campus, Gardyne Road, Dundee, DD5 1NY
We are seeking a highly motivated Data Analyst with a strong Business Intelligence (BI) focus to play a key role in transforming how data is used across the College. This is an exciting opportunity for someone who is passionate about data, insight, and modern BI tools, and who wants to help drive a more insight-led culture.
In this role, you will lead the development, promotion and optimisation of accessible, high-quality data and insight, enabling staff, managers and stakeholders to make informed, data-driven decisions that support organisational performance and strategic outcomes. You will work collaboratively across departments to design and deliver modern BI reports, dashboards and data products, helping to embed a culture of self-service analytics and continuous improvement.
You will also be responsible for ensuring the accuracy, integrity and timely submission of statutory and internal data returns. You will develop and maintain interactive dashboards and reports, primarily using Power BI, and work closely with stakeholders to translate business requirements into effective data and insight solutions.
You will champion data literacy and Business Intelligence best practice across the organisation, while managing and querying large datasets using SQL and modern data platforms. A key part of the role will involve ensuring high standards of data quality, governance and compliance, as well as supporting both strategic and operational reporting through the delivery of clear, actionable insights.
To be successful in this role, you should be qualified to HNC or Degree level (SCQF Level 7 or above) in a relevant discipline and have proven, hands-on experience in Business Intelligence and data visualisation, which is essential. You should bring strong technical expertise in Power BI, along with experience working with large, complex datasets and data models.
You will be comfortable communicating insights clearly to both technical and non-technical audiences and will demonstrate a proactive, collaborative approach, with a genuine passion for using data to drive improvement. Experience of working in the public sector or education would be advantageous, along with knowledge of SQL, as would knowledge of data governance, data warehousing or ETL processes.
This role supports a hybrid working approach, and candidates will be expected to work on-site at least two days per week at our Gardyne Campus.
Data Analyst - DAC01267 in Dundee employer: Dundee and Angus College
Contact Detail:
Dundee and Angus College Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - DAC01267 in Dundee
✨Tip Number 1
Network like a pro! Reach out to current employees at the College or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Power BI skills. Have some examples ready of how you've used data to drive decisions in past roles. Show us your passion for data!
✨Tip Number 3
Don’t just focus on your technical skills; be ready to discuss how you communicate insights to different audiences. We want to see that you can make data accessible and engaging for everyone!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at the College.
We think you need these skills to ace Data Analyst - DAC01267 in Dundee
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Business Intelligence tools, especially Power BI, and any relevant projects that showcase your data skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data and how you can contribute to an insight-led culture at StudySmarter. Be sure to mention specific examples of your work with large datasets and data visualisation.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in SQL and data governance. We’re looking for someone who can manage and query large datasets, so make sure to include any relevant experience or projects that demonstrate these skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Dundee and Angus College
✨Know Your Data Tools
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss specific projects where you've used it to create dashboards or reports. This will show your hands-on experience and passion for data visualisation.
✨Understand the Business Context
Research the college's mission and how they use data to drive decisions. Think about how your role as a Data Analyst can contribute to their goals. This will help you articulate how you can add value during the interview.
✨Prepare for Technical Questions
Expect questions about SQL and data governance. Brush up on your knowledge of querying large datasets and be prepared to explain your approach to ensuring data quality and compliance. This will demonstrate your technical expertise.
✨Showcase Your Communication Skills
Be ready to explain complex data insights in simple terms. Practice how you would present findings to both technical and non-technical audiences. This is crucial, as the role involves collaborating with various stakeholders across departments.