Reporting to the Data & Analytics Manager, the Assistant Data Analyst is responsible for supporting the work of the Academic data team by collecting, processing, and analysing data to provide insights to the Academic Sales function. You will work directly with senior analysts and other key stakeholders to gather data requirements and deliver reporting in the context of wider team initiatives.
Responsible for running weekly and monthly reoccurring reports, the role must also be able to provide ad hoc reporting and analysis in line with business demand. You will also be accountable for the thorough documentation of data processes and will adhere to best practices for following data governance policies.
Key responsibilities in this role will include:
Perform basic data analysis using statistical techniques and tools.
Produce ad hoc reports and analysis that are timely and error free, according to business needs.
Assist in creating reports, dashboards, and visualisations to communicate findings effectively.
Collaborate with senior analysts to develop insights that contribute to business strategies.
Collaborate with operational support teams to understand their business needs and data requirements.
Responsible for providing self-serve reporting and automating manual reporting solutions where possible for operational support teams.
Responsible for running regular data updates, monitoring data quality, and resolving data-related issues.
Adhere to data governance standards and follow best practices for data handling and process documentation.
Participate in the data team’s data validation and control processes.
Participate in training and development opportunities to enhance skills and knowledge.
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:
Experience with data manipulation and analysis using tools such as Excel or SQL
Strong attention to detail and problem-solving skills.
Ability to work collaboratively in a team environment
Eagerness to learn and adapt to new technologies and techniques
Effective communication skills, both written and verbal
Familiarity with data visualization (e.g., Power BI, Tableau)
Familiarity with BI tools such as Alteryx (Desirable)
Basic understanding of statistical concepts and methodologies (Desirable)
Benefits
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.
Please see our Rewards and Recognition page for more information.
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.
