Data Analyst
HP Inc.
- Location
- Cambridge, Cambridgeshire, United Kingdom
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 37 approvals (FY2023)
- Posted
- Sep 16, 2026
Skills
About this role
Data Analyst Description - 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. If you are convinced that you are a perfect match, then apply now and join our HP family! (see https://www.hpwolf.com/ ). What you will do as a Data Analyst 1) 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 2) 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 What it's like As part of a small, focused, and talented team you'll get the support to deliver high quality, reliable work & you'll be trusted to suggest, investigate and deliver new ideas. And you will also work on hybrid basis from our office in Cambridge. This role is also a 12 month Fixed Term Contract .
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. That micro-virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. To see what our engineering teams are working on, check out our technical blogs: https://threatresearch.ext.hp.com/blog Our history: Inspired by the isolation principles of traditional