At a Glance
- Tasks: Support data analysis and project coordination for innovative security solutions.
- Company: Join HP, a leader in tech and an inclusive employer.
- Benefits: Gain valuable experience, work hybrid, and enjoy a supportive team environment.
- Other info: 12-month fixed-term contract with excellent career growth opportunities.
- Why this job: Make a real impact on cybersecurity while developing your analytical skills.
- Qualifications: Bachelor's degree in relevant field and strong analytical skills required.
The predicted salary is between 25650 - 31350 £ per year.
We are seeking a motivated and detail-oriented Junior Data Analyst / Project Coordinator to support our Technical Consulting and R&D teams. This is an excellent opportunity for an early-career professional looking to develop skills in data analysis, customer insight, and cross-functional project support within a technology-driven environment.
Initially, the role will focus on working closely with our Technical Consultants to collect, structure, and analyse data from customers who have deployed our security solutions. The objective is to develop meaningful insights into product usage, helping inform future development, customer success strategies, and business decisions. In addition, the role will provide project coordination and analytical support to the local R&D office across a range of initiatives.
What you will do as a Data Analyst:
- Data Collection & Analysis
- Collaborate with Technical Consultants to gather data from deployed customer environments
- Organise and structure customer usage data for analysis
- Identify trends, patterns, and insights to improve understanding of customer behaviour
- Produce clear reports and dashboards to communicate findings to stakeholders
- Support the development of internal metrics to track product adoption and usage
- Project Support (R&D)
- Assist in planning and tracking R&D-related projects
- Coordinate tasks, timelines, and documentation across stakeholders
- Prepare status updates and summary reports
- Support testing, validation, or documentation activities where required
- Contribute to continuous improvement initiatives within the R&D function
Requirements:
- Bachelor's degree (or equivalent) in Data Analytics, Computer Science, Engineering, Business, or related field
- Strong analytical and problem-solving skills
- Proficiency in Excel (pivot tables, data analysis functions)
- Familiarity with data analysis tools (e.g., Power BI, Tableau, SQL, or similar)
- Excellent attention to detail
- Strong written and verbal communication skills
- Ability to work collaboratively across technical and non-technical teams
A great Data Analyst will have:
- Basic understanding of cybersecurity concepts or enterprise software environments
- Experience working with customer data or usage analytics
- Exposure to project management methodologies (e.g., Agile or Waterfall)
- Familiarity with tools such as Jira, Confluence, or similar project tracking systems
About you: You're out to reimagine and reinvent what's possible - in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
About HP Wolf Security: The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers' devices and data. The digital threat landscape is ever-changing and as the cyber security industry reacts and adapts to changes, so too do the malware authors. Our unique micro-virtualization technology ensures that customers are protected from even the most bleeding edge cyber security threats.
Data Analyst in Cambridge employer: HP
HP is an exceptional employer that prioritises employee growth and development, offering a dynamic work culture where every team member's voice is valued. Located in the UK, our Customer Relations team fosters a collaborative environment, ensuring that employees are equipped with the tools and support needed to excel in their roles while making a meaningful impact on customer satisfaction. With a commitment to diversity and inclusion, HP provides equal opportunities for all, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Cambridge
✨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 HP!
✨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 Data Analyst at HP.
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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 HP.
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We think you need these skills to ace Data Analyst in Cambridge
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 HP, 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 HP. 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 HP
✨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 HP!
✨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.
