Data Insight Analyst — Power BI Dashboards & Reporting in Oxford

Data Insight Analyst — Power BI Dashboards & Reporting in Oxford

Oxford Full-Time 31500 - 38500 £ / year (est.) No working from home possible
University of Oxford

At a Glance

  • Tasks: Create stunning dashboards and visualisations to support strategic decisions.
  • Company: Join the prestigious University of Oxford's Humanities Division.
  • Benefits: Gain valuable experience, work in a supportive environment, and enhance your skills.
  • Other info: Dynamic role with opportunities for professional growth and development.
  • Why this job: Make a real impact by improving efficiency and insight through data analysis.
  • Qualifications: Experience with Power BI and Power Automate is essential.

The predicted salary is between 31500 - 38500 £ per year.

University of Oxford is seeking a Business Intelligence professional to provide reporting and data analysis support for the Humanities Division.

You will create dashboards and visualisations, source data, and develop robust reporting tools to aid strategic decisions.

Experience with Power BI and Power Automate is essential, with a focus on data quality, automation, and scalable reporting across diverse data sources.

Aimed at improving efficiency and insight across the division.

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Data Insight Analyst — Power BI Dashboards & Reporting in Oxford employer: University of Oxford

The University of Oxford is an exceptional employer, offering a vibrant research environment that fosters creativity and innovation in neuroscience. With access to cutting-edge facilities and a collaborative work culture, employees are encouraged to grow professionally through various development opportunities. Located in the historic city of Oxford, the university provides a unique blend of academic excellence and cultural richness, making it an ideal place for those seeking meaningful and impactful careers in research.

University of Oxford

Contact Details:

University of Oxford Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Insight Analyst — Power BI Dashboards & Reporting in Oxford

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like University of Oxford!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Data Insight Analyst — Power BI Dashboards & Reporting in Oxford

Power BI
Power Automate
Data Analysis
Dashboard Creation
Data Visualisation
Reporting Tools Development
Data Quality Assurance

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at University of Oxford, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at University of Oxford

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with University of Oxford’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.