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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.
- Benefits: Enjoy 25 days holiday, hybrid working, and opportunities for career growth.
- Why this job: Make an impact by transforming data into actionable insights for the team.
- Qualifications: Proficient in Excel, SQL, and data visualisation tools like Tableau.
- Other info: Collaborative environment with a strong emphasis on work/life balance.
The predicted salary is between 30000 - 42000 £ 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
Data Analyst 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 in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. We recommend using mock interviews with friends or even recording yourself to refine your answers. The more comfortable you are, the better you'll perform!
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your analytical projects, dashboards, and any relevant work. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Data Analyst 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 the best chance of success. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Oxford University Press
✨Know Your Tools Inside Out
Make sure you brush up on your data analysis tools like Excel, SQL, and any statistical software you're familiar with. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Prepare for Data Storytelling
Since you'll need to translate complex data into actionable insights, practice explaining your past analyses in simple terms. Think about how you can convey your findings to non-technical stakeholders, as this will be key in the interview.
✨Showcase Your Collaboration Skills
This role involves working cross-functionally, so be prepared to share examples of how you've successfully collaborated with others in previous roles. Highlight any experiences where teamwork led to improved data processes or outcomes.
✨Understand Data Governance
Familiarise yourself with data governance, compliance, and security practices. Be ready to discuss how you've ensured data quality in your previous work, as this will demonstrate your commitment to best practices in data management.
