At a Glance
- Tasks: Support and maintain knowledge platforms, ensuring they run smoothly and securely.
- Company: Dynamic company in Nottingham with a focus on innovation and collaboration.
- Benefits: Flexible hybrid work, increasing paid leave, and premium health insurance.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Join a team that values your insights and helps improve user experience.
- Qualifications: Experience in system maintenance and data reporting is a plus.
The predicted salary is between 30000 - 40000 £ per year.
The purpose of this role is to support the technical health and reporting of the Knowledge Management and other relevant platforms. This role helps ensure the system is secure, functional, and performs well for end‑users, while also assisting in the essential data collection and reporting required to measure content effectiveness and system usage.
Responsibilities
- Assist with day‑to‑day configuration, user profile management, and maintenance tasks required to keep the knowledge platforms running smoothly and securely.
- Help implement approved changes and new features.
- Extract raw data and assist in the preparation of standard reports and dashboards to track performance metrics and identify trends.
- Provide data‑driven insights into content usage and system health.
Skills and Experience
- System Maintenance – Assist in managing user profiles, system permissions, and system health to maintain day‑to‑day integrity of the knowledge platform, including supporting and resolving events/incidents.
- Technical Implementation Assistance – Support the implementation of new platform features, configure new content templates following established guides, and assist with managing integration.
- Access Control Administration – Administer user access roles and permissions according to defined rules to control content visibility and manage content creation/editing rights within the platform.
- Search Optimisation Support – Assist with routine audits of search functionality, updating elements like synonyms and search boosting rules as instructed to improve basic search result relevance.
- Documentation Maintenance – Maintain, create and update existing technical documentation for the platform’s configuration and standard processes.
- Data Reporting and Dashboards – Execute the creation and scheduled distribution of standard reports and dashboards that track performance and knowledge metrics.
- Content Gap Analysis – Collect knowledge and performance data to help identify potential content gaps, including leading knowledge ecosystem feedback for content/platform iteration.
- Performance Measurement Assistance – Support the quantification of basic knowledge base impact, such as extracting data on ticket volumes before and after content releases.
- A/B Testing Support – Assist A/B testing and change initiatives.
Measures of Success
- System and Content Stability – Low frequency of system and content issues or outages due to effective support and maintenance tasks.
- Search and CI Functionality – Successful execution of routine search tuning tasks that contribute to improving search results.
- Data Accuracy and Timeliness – Consistent delivery of accurate standard reports and data extracts according to the required schedule.
- Effective Support – Timely and effective logging, escalation, and resolution of technical support issues related to the platform.
- Documentation Currency – All assigned technical documentation is maintained and kept up‑to‑date.
- Impact Measurement – All updates and reports are tracked against key metrics to show how they support improving performance, help users find information, and support business goals.
Benefits
- Workplace Flexibility – 3 days in-office (Tuesday‑Thursday) and 2 days remote.
- Paid Leave – Increasing with tenure; the option to purchase 5 additional days.
- Health – Access premium care through our private medical insurance.
- Family Support – Enhanced parental leave.
- Full list of benefits available upon request.
Knowledge Data and Systems Specialist in Loughborough employer: Capital One
As a Knowledge Data and Systems Specialist at our Nottingham office, you will thrive in a dynamic work environment that values flexibility, offering a hybrid model of 3 days in-office and 2 days remote. We prioritise employee growth through continuous learning opportunities and provide comprehensive benefits, including premium health care and enhanced parental leave, ensuring a supportive culture that fosters both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Knowledge Data and Systems Specialist in Loughborough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Capital One!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Knowledge Data and Systems Specialist at Capital One.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Capital One.
✨Apply Directly through Our Website
When you find a suitable opening like Knowledge Data and Systems Specialist at Capital One, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Knowledge Data and Systems Specialist in Loughborough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Capital One, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capital One. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capital One
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capital One!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
