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- Tasks: Transform data usage across the College and create insightful BI reports.
- Company: Dynamic educational institution focused on data-driven decision making.
- 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: Join us to drive a culture of insight-led decisions and make a real impact.
- Qualifications: HNC or Degree level in a relevant field with BI and data visualisation experience.
The predicted salary is between 34074 - 36666 £ per year.
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 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
✨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 that showcase your experience with data visualisation and how you've used insights to drive decisions.
✨Tip Number 3
Show your passion for data! During interviews, share stories about how you've championed data literacy or improved processes using data. It’s all about demonstrating your enthusiasm for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Data Analyst - DAC01267
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, 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 data visualisation and stakeholder collaboration.
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 large datasets and ensure data quality, so make sure these skills are front and centre in your application.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
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 how you've used it in past projects, and think of specific examples where your dashboards made a difference. This will show your technical expertise and passion for data.
✨Understand the Business Context
Familiarise yourself with the college's mission and how data can drive improvements in education. Think about how you can contribute to their goals using data insights. This will help you connect your answers to their needs during the interview.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or improve processes using data. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to communicate insights effectively.
✨Show Your Collaborative Spirit
Since the role involves working across departments, be prepared to discuss how you've successfully collaborated with others in the past. Share examples of how you’ve translated business requirements into actionable data solutions, highlighting your proactive approach.