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- Tasks: Analyse data to provide insights for decision-making in Academic Sales.
- Company: Join a leading academic publisher with a focus on innovation and collaboration.
- Benefits: Enjoy 25 days holiday, flexible working, and a competitive salary up to £33,000.
- Why this job: Make an impact by transforming data into actionable insights while developing your skills.
- Qualifications: Proficiency in Excel, SQL, and data visualisation tools; strong analytical and communication skills.
- Other info: Hybrid working policy with opportunities for career growth and a supportive work environment.
The predicted salary is between 24000 - 36000 £ per year.
We are looking for a Data Analyst to join the Sales Data & Analytics team within our Academic Division on a fixed term basis of 6 months. The role will be responsible for the production of analytical packages that provide meaningful insight to enable decision making within Academic Sales. You will create and deliver daily, weekly, and monthly reporting requirements as defined by business needs. The role will collaborate within the team and cross-functionally to ensure the most suitable data sources are utilised for reporting and to reduce duplication of effort.
The role will be responsible for providing automated insight dashboards that enable end users to conduct self-serve analytics effectively and efficiently. The role will follow best practice when cleansing and preparing data for analysis, working with the Data Analytics Engineers within the team to troubleshoot and resolve data issues when they arise. The Data Analyst will be accountable for the thorough documentation of data processes, to support data quality assurance efforts and improve efficiency within the team.
We operate a hybrid working policy that requires a minimum of 2 days per week in the Oxford office. This is a 6-month fixed term contract with the possibility of extension.
About You
To be successful in this role, you will ideally have/be:
- Strong proficiency in data analysis tools such as Excel, SQL, and other statistical software.
- Proven ability to deliver root cause analysis, troubleshoot data and data related processes.
- Excellent analytical skills with the ability to translate data into actionable insights.
- Excellent communication skills, both written and verbal, with the ability to convey complex findings to non-technical stakeholders.
- Ability to work collaboratively in cross-functional teams.
- Experience with data visualization tools like Tableau, Power BI, or similar platforms.
- Experience with BI Tools like Alteryx, or similar applications.
- Experience in data governance, compliance, and security practices.
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.
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.
Up to £33,000 dependent on skills and experience.
Data Analyst (Fixed Term Contract) 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 (Fixed Term Contract) in Oxford
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or through mutual connections. A friendly chat can give you insider info about the role and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've used tools like Excel and SQL in past projects. Show us your analytical prowess!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your communication abilities too. Practice explaining complex data insights in simple terms, as you'll need to convey findings to non-technical stakeholders.
✨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 joining our team at StudySmarter.
We think you need these skills to ace Data Analyst (Fixed Term Contract) in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis tools like Excel and SQL, and showcase any relevant projects that demonstrate your analytical skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our needs. Don’t forget to mention your experience with data visualisation tools like Tableau or Power BI.
Showcase Your Communication Skills: Since you'll be conveying complex findings to non-technical stakeholders, make sure to highlight your communication skills in your application. Use clear and concise language to demonstrate your ability to translate data into actionable insights.
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 ensures you don’t miss out on any important updates!
How to prepare for a job interview at Oxford University Press
✨Know Your Tools
Make sure you brush up on your data analysis tools like Excel and SQL before the interview. Be ready to discuss how you've used these tools in past projects, as well as any experience with data visualisation platforms like Tableau or Power BI.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical skills by discussing specific examples where you've translated complex data into actionable insights. Think of a situation where your analysis led to a significant decision or improvement.
✨Communicate Clearly
Since you'll need to convey complex findings to non-technical stakeholders, practice explaining your past projects in simple terms. This will show that you can bridge the gap between technical data and business needs effectively.
✨Collaboration is Key
Highlight your experience working in cross-functional teams. Be ready to share examples of how you've collaborated with others to ensure the best data sources are used and how you've tackled data issues together.
