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Data Analyst; UX Research

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Entrust
Full Time position
Listed on 2026-01-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Position: Data Analyst (UX Research)
Location: Greater London

* 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.

* Get to Know Us*

Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting‑edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.

About the team

You’ll be joining the team leading Entrust’s Identity portfolio, including the solutions formerly known as Onfido (AI‑powered digital identity solution). With the completed acquisition, Entrust now provides the industry’s most comprehensive portfolio of AI‑powered, identity‑centric security solutions.

Our technology helps businesses verify real identities using AI and biometrics, ensuring secure remote customer and business onboarding. By assessing government‑issued 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.

About the role

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 data‑driven insights. We help fuel a human‑centred design process and are looking to strengthen our internal quantitative and data analytics capabilities to amplify the team’s impact.

In this role, you’ll bring an analytics
and metric‑driven lens to our customer
insight efforts. Think product analytics, but your skills will primarily be in service of helping us understand customers better.

We see this manifesting in a couple different ways:

  • A little bit of investigative data analytics… Surfacing new insights/ themes from large data sets with your own self‑directed analysis, for example, driving customer segmentation
  • A little bit of data ops… Infusing customer‑needs related data into product team dashboards and building other internal processes that allow teams to self‑serve customer data
  • A little bit of mixed methods user research … Partnering with qualitative researchers to strengthen insights with metrics and data, scoping and conducting quantitative studies where appropriate.

You will also:

  • Help with problem definition and scoping, ensuring we’re asking the right customer research questions to support product and business priorities.
  • Make your insights sing, 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 AI‑first approach to a centralised ‘voice of customer’ hub.

Ultimately, this role will be about more than crunching numbers. To be successful you will visualise insights, craft compelling narratives, and connect the dots between the data and strategic decision‑making. For this, we are looking for someone who is talented in storytelling and persuasive communication.

Minimum Qualifications
  • You have 3-5 years’ experience with data analytics skills that support product and business decision‑making, with demonstrable experience in:
  • Advanced spreadsheet skills (i.e., 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 (i.e., SQL, Python, etc.)
  • Experience using data to help answer a customer or customer‑needs focused question (ideally experience building customer segmentations)
  • Strong presentation and storytelling skills, with the ability to translate data into compelling narratives for tech and non‑tech audiences across multiple channels (i.e., Powerpoint, Slack, and e‑mail).
  • Comfort in ambiguously defined problems, and the ability to understand strategic priorities, scope project…
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