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For Companies At a Glance
- Tasks: Analyse data to create impactful reports for finance and sales teams.
- Company: Join a leading organisation that values diversity and inclusivity.
- Benefits: Enjoy 25 days holiday, flexible working, and a generous pension contribution.
- Why this job: Make a real difference by turning data into actionable insights.
- Qualifications: Experience with Power BI and financial reporting is a plus.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
We’re looking for a Data Analyst to join our data and analytics team, supporting finance by delivering high-quality reporting for local and global sales and customer debt. You will take ownership of the technical delivery of sales and debt reporting, ensuring outputs are timely, accurate, and actionable for finance stakeholders. This includes developing and maintaining data models, dashboards, and reports—primarily using Power BI—to visualize financial performance and support decision-making.
You will collaborate closely with other data analysts to understand reporting requirements and translate business needs into robust technical solutions. Working in an agile environment, you’ll adapt to evolving priorities and contribute to continuous improvement in reporting processes. You’ll also build relationships with divisional data teams to support broader reporting collaboration and ensure alignment across functions.
We operate a hybrid working policy that requires a minimum of 2 days per week in the Oxford office.
About You
To be successful in this role, you will ideally have:
- Strong data reporting skills using a visualization tool (Power BI desirable)
- Experience in financial sales reporting
- Experience working in agile teams or environments
- Ability to turn non-technical requirements into technical delivery
- Proven track record of delivering work in a professional business context
- SQL or MDX
- Experience with Power Automate
- Experience with SAP and/or SAP BW
- Certification in a visualization tool (PL300 or equivalent)
We care about work/life balance here at OUP. With this in mind we offer 25 days’ holiday that rises with service, plus bank holidays and Christmas closure (3‑days) and a 35-hour working week. We are open to discussing flexibility in respect to working patterns, dependent on role. We also have a great variety of active employee networks and societies.
We help make your money go further by contributing to your pension up to 12%, offering loans and savings schemes through our partnership with Salary Finance, in addition to travel to work schemes and access to a wide range of local discounts. This role comes with the added benefit of a discretionary annual payment.
Please note this advert may be removed before the advertised end date, so we encourage you to apply as soon as possible. We are committed to supporting diversity in our workforce, and ensuring an inclusive environment where all individuals can thrive. We seek to employ a workforce representative of the markets that we serve and encourage applications from all.
Data Analyst, FP&A in Oxford employer: Oxford University Press
Contact Detail:
Oxford University Press Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, FP&A in Oxford
✨Tip Number 1
Get your networking game on! Reach out to current or former employees in similar roles, especially those who’ve worked with data and analytics. They can give you the inside scoop on what it’s really like and might even refer you directly.
✨Tip Number 2
Show off your skills! If you’ve got experience with Power BI or SQL, create a portfolio showcasing your best work. Visuals speak louder than words, so having a few dashboards or reports ready to share can really impress during interviews.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common data analyst scenarios, especially around financial reporting. Think about how you’d tackle real-world problems and be ready to discuss your thought process.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst, FP&A in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with Power BI and any financial reporting you've done. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our data and analytics team. Keep it concise but impactful—show us your passion!
Showcase Your Technical Skills: Don’t forget to mention your SQL or MDX experience, and any certifications you have. We love seeing candidates who can turn non-technical requirements into technical solutions, so give us examples of how you've done this in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Oxford University Press
✨Know Your Tools
Make sure you’re well-versed in Power BI and any other tools mentioned in the job description. Brush up on your SQL or MDX skills, as these will likely come up during the interview. Being able to discuss specific projects where you've used these tools will show your practical experience.
✨Understand Financial Reporting
Since this role focuses on financial sales reporting, it’s crucial to understand the key metrics and reports that finance stakeholders care about. Prepare examples of how you've delivered actionable insights from data in previous roles, and be ready to discuss how you can apply that knowledge here.
✨Show Your Agile Mindset
This position requires working in an agile environment, so be prepared to talk about your experience with agile methodologies. Share examples of how you've adapted to changing priorities and contributed to continuous improvement in reporting processes. This will demonstrate your flexibility and teamwork skills.
✨Build Relationships
Collaboration is key in this role, so think about how you’ve built relationships with other teams in the past. Be ready to discuss how you would approach working with divisional data teams to ensure alignment across functions. Highlighting your communication skills will set you apart.