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- Tasks: Analyse digital data to provide actionable insights for business goals.
- Company: Join The National Archives, a key institution preserving UK history and culture.
- Benefits: Enjoy flexible working options, including remote work and part-time arrangements.
- Why this job: Be part of a transformative team that values innovation and diverse perspectives.
- Qualifications: Experience in web analytics, problem-solving, and data visualisation tools like Python or R.
- Other info: Open to applicants from all backgrounds; travel to Kew site required.
The predicted salary is between 36000 - 60000 £ per year.
We are transforming our digital services at The National Archives. As part of the Digital Services department, you will work with all available digital data and, using your analytical skills, generate clear, actionable insights to help develop our business goals. You should be confident in discussing your findings and assisting others in understanding the next steps.
You will support product teams, especially user researchers, to combine the ‘what’ and ‘why’ of user behaviour, as well as product and service managers, to identify ‘what good looks like’ and develop hypotheses. You’ll be a clear and confident communicator, able to share information across the organisation, train others, and enable them to gather their own metrics. In addition to excellent analytical and problem-solving skills, you should bring innovative ideas to enhance our analytical outputs. Experience with data visualisation tools, Python, or R would be advantageous.
This is a full-time position. Requests for part-time, flexible working, or job sharing will be considered, depending on operational needs. A combination of onsite and remote work is available; applicants should be able to regularly travel to our Kew site. We are an equal opportunities employer, welcoming applications from all backgrounds, ages, and experiences, including people with disabilities. We aim to attract a diverse pool of talent for all roles.
Responsibilities
Essential criteria:
- Extensive experience with web analytics
- Excellent analytical, problem-solving, and organisational skills, with high accuracy and a proactive, solutions-focused approach
- Ability to discover and share insights with stakeholders of varying seniority and analytical expertise
- Practical experience in conversion rate optimisation, measuring transactional outcomes, publishing performance, and user experience
- Experience working with developers to build analytical solutions aligned with technical requirements
- Strong proficiency with spreadsheets and data manipulation
- Experience working in an agile, multidisciplinary team focused on user needs
Vacancy for Digital Services Performance Analyst at The National Archives employer: Digital Preservation Coalition
Contact Detail:
Digital Preservation Coalition Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vacancy for Digital Services Performance Analyst at The National Archives
✨Tip Number 1
Familiarise yourself with the specific web analytics tools used by The National Archives. Research their current digital services and understand how they measure success. This knowledge will help you demonstrate your proactive approach during discussions.
✨Tip Number 2
Prepare to discuss your experience in conversion rate optimisation and how it relates to user behaviour. Think of specific examples where your insights led to measurable improvements, as this will showcase your analytical skills effectively.
✨Tip Number 3
Brush up on your data visualisation skills, especially if you have experience with tools like Tableau or Google Data Studio. Being able to present complex data in an easily digestible format will be a key asset in your role.
✨Tip Number 4
Network with professionals in the field of digital analytics, particularly those who have worked in similar organisations. Engaging with them can provide valuable insights into the role and may even lead to referrals or recommendations.
We think you need these skills to ace Vacancy for Digital Services Performance Analyst at The National Archives
Some tips for your application 🫡
Understand the Role: Before you start writing, make sure you fully understand the responsibilities and essential criteria for the Digital Services Performance Analyst position. Tailor your personal statement to highlight how your skills and experiences align with what The National Archives is looking for.
Craft a Strong Personal Statement: Use the full 1250-word limit wisely. Provide specific examples from your past experiences that demonstrate your extensive web analytics experience, analytical skills, and problem-solving abilities. Make sure to address each of the essential criteria clearly.
Showcase Your Communication Skills: Since the role requires clear communication with stakeholders, include examples of how you've effectively shared insights or trained others in previous roles. This will demonstrate your ability to convey complex information in an understandable way.
Highlight Technical Proficiency: Mention any experience you have with data visualisation tools, Python, or R, as well as your proficiency with spreadsheets and data manipulation. Providing concrete examples of how you've used these tools in your work will strengthen your application.
How to prepare for a job interview at Digital Preservation Coalition
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with web analytics in detail. Bring examples of how you've used data to generate insights and drive decisions in previous roles. This will demonstrate your ability to meet the essential criteria.
✨Communicate Clearly
As a Digital Services Performance Analyst, you'll need to share insights with various stakeholders. Practice explaining complex data in simple terms, so you can effectively communicate your findings during the interview.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in previous roles and how you approached them. Highlight your proactive, solutions-focused mindset, as this is crucial for the role at The National Archives.
✨Familiarise Yourself with Tools
If you have experience with data visualisation tools, Python, or R, be ready to discuss how you've used these in your work. If you're not familiar with them, consider doing a bit of research to understand their applications in data analysis.
