At a Glance
- Tasks: Analyse data to drive customer insights and support product innovation.
- Company: Join Entrust, a leader in identity-centric security solutions.
- Benefits: Career growth opportunities, flexible work options, and a collaborative culture.
- Why this job: Make a real impact by shaping secure solutions with cutting-edge technology.
- Qualifications: 3-5 years of data analytics experience and strong storytelling skills.
- Other info: Hybrid role with a dynamic team focused on innovation.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Join us at Entrust. At Entrust, we're shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.
Headquartered in Minnesota, Entrust is an industry leader in identityâcentric security solutions, serving over 150 countries with cuttingâedge, scalable technologies. Our secret weapon? Our people. It's curiosity, dedication, and innovation that drive our success and help us anticipate the future.
You'll be joining the team leading Entrust's Identity portfolio, including the solutions formerly known as Onfido (AIâpowered digital identity solution). With the completed acquisition, Entrust now provides the industry's most comprehensive portfolio of AIâpowered, identityâcentric security solutions. Our technology helps businesses verify real identities using AI and biometrics, ensuring secure remote customer and business onboarding. By assessing governmentâissued IDs and facial biometrics with innovative dashboards and fraud signals, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely.
We're looking for someone with strong data analytics skills to join our UX Research and Customer Insights team, which lives at the core of our Product group, helping inspire innovation and validate important strategic initiatives through dataâdriven insights. We help fuel a humanâcentred design process and are looking to strengthen our internal quantitative and data analytics capabilities to amplify the team's impact.
Responsibilities
- Bring an analytics and metricâdriven lens to our customer insight efforts.
- Surfacing new insights/themes from large data sets through selfâdirected analysis, e.g., driving customer segmentation.
- Infuse customerâneeds related data into product team dashboards and build internal processes that allow teams to selfâservice customer data.
- Partner with qualitative researchers to strengthen insights with metrics and data, scoping and conducting quantitative studies where appropriate.
- Help with problem definition and scoping, ensuring we're asking the right customer research questions to support product and business priorities.
- Make insights sing by translating data into visualisations and stories that drive outcomes.
- Work within an agile product development team and partner closely with engineers, designers, product managers, and UX researchers.
- Be a key contributor in developing our AIâfirst approach to a centralised 'voice of customer' hub.
Minimum Qualifications
- 3-5 years' experience with data analytics skills that support product and business decisionâmaking.
- Advanced spreadsheet skills (MS Excel, Google Sheets).
- Data visualisation and insight generation through business analytics tools such as Looker, Datadog, Tableau, Power BI, etc.
- Manipulating large data sets (SQL, Python, etc.).
- Experience using data to answer a customer or customerâneeds focused question (ideally building customer segmentations).
- Strong presentation and storytelling skills, with the ability to translate data into compelling narratives for tech and nonâtech audiences across multiple channels (PowerPoint, Slide, email).
- Comfort in ambiguously defined problems and ability to understand strategic priorities, scope project needs and adapt to changes.
- Intellectually curious, interest in people and human behaviour, and excited about solving big problems.
Nice to Have
- Experience with MCPs (Model Context Protocols) and manipulating data with AI agents.
- STEM degree, or any university degree focused on data analysis, data manipulation tooling, and presentation.
- Experience establishing statistical significance with large data sets (R, Python, etc.).
Please note this is a hybrid role with 3 days in our London office.
Benefits
- Career Growth: We're invested in your professional journey with learningâforward initiatives and exciting challenges.
- Flexibility: Remote, hybrid or onâsite options fit your lifestyle.
- Collaboration: Your voice matters in a culture of sharing ideas and building a better tomorrow.
Ready to Make an Impact? If you're excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let's build a more secure worldâtogether.
Apply Today! For more information, visit www.entrust.com. Follow us on LinkedIn, Facebook, Instagram, and YouTube.
EEO Statement: Entrust is an EEO/AA/Disabled/Veterans Employer. For Canadian roles, we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds and strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact accessibility@entrust.com.
Product Analyst (UX Research) in London employer: Entrust Datacard
Contact Detail:
Entrust Datacard Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Product Analyst (UX Research) in London
â¨Tip Number 1
Network like a pro! Reach out to current employees at Entrust on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the UX Research and Customer Insights team.
â¨Tip Number 2
Prepare for your interview by diving deep into Entrust's products and services. Understand how data analytics plays a role in their identity-centric security solutions, and be ready to discuss how your skills can contribute to their mission.
â¨Tip Number 3
Show off your storytelling skills! When discussing your past projects, focus on how you translated data into actionable insights. Use visuals if you canâeveryone loves a good chart or graph!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining the Entrust team.
We think you need these skills to ace Product Analyst (UX Research) in London
Some tips for your application đŤĄ
Show Off Your Data Skills: Make sure to highlight your data analytics experience in your application. We want to see how you've used data to drive decisions and insights, so donât hold back on those impressive projects!
Tell a Story with Your Data: When you describe your past work, think about how you can turn numbers into narratives. We love candidates who can translate complex data into compelling stories that resonate with both tech and non-tech audiences.
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Weâre looking for someone who understands our mission and can connect their skills to what we do at Entrust, so make it personal!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands and shows us youâre serious about joining our team!
How to prepare for a job interview at Entrust Datacard
â¨Know Your Data Tools
Make sure youâre familiar with the data analytics tools mentioned in the job description, like SQL, Python, and visualisation platforms such as Tableau or Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
â¨Showcase Your Storytelling Skills
Prepare to demonstrate how you can translate complex data into compelling narratives. Think of examples where your insights led to actionable outcomes, and practice explaining them clearly for both tech and non-tech audiences.
â¨Understand Customer Needs
Research Entrustâs identity-centric solutions and think about how data can enhance customer insights. Be ready to discuss how you would approach customer segmentation and what questions youâd ask to uncover valuable insights.
â¨Embrace Ambiguity
Since the role involves tackling ambiguously defined problems, prepare to share experiences where you successfully navigated uncertainty. Highlight your adaptability and how you prioritised strategic needs in previous roles.