Data Analyst

Date: 8 Jan 2026

Location: Oxford / Hybrid, GB, OX4 4DQ

Company: Nominet

Contract Type: Fixed Term Contract – 9 Months

About Us

We’re Nominet – a world‑leading domain name registry operating at the heart of the UK internet. While we’re best known for running .UK domains, our DNS expertise also underpins critical internet infrastructure that government services, including the NHS, rely on. As a public benefit company, our work has a positive impact on society. We’ve donated millions to projects that use technology to improve people’s lives and have committed to delivering £60m worth of support over the next three years.

The Role

The role focuses on producing and maintaining insightful reports and dashboards, supporting ad‑hoc analysis, and working closely with stakeholders and data engineers to turn raw data into reliable, analysis‑ready datasets. You’ll also contribute to improving and maintaining self‑service analytics capabilities and applying statistical techniques to identify trends, patterns, and anomalies in large datasets.

What You’ll Be Doing

• Deliver and maintain insightful, value‑add reports, dashboards, and analytical outputs
• Respond to ad‑hoc data and analysis requests from across the business
• Analyse large datasets to identify trends, patterns, anomalies, and opportunities
• Apply appropriate statistical and analytical techniques to translate data into actionable insights
• Work closely with stakeholders to understand business needs and shape analytical solutions
• Collaborate with data engineers to ensure data is accurate, fit for purpose, and analysis‑ready
• Maintain and continuously improve self‑service reporting and data products
• Ensure high standards of data quality, accuracy, and documentation
• Communicate insights clearly and effectively to technical and non‑technical audiences
• Help shape the long‑term analytics roadmap and work with team leads, product managers and project managers to refine backlogs and plan individual sprints

About You

• Proven experience (4+ years) delivering insights and analysis in a business context
• Strong analytical mindset with experience in reporting, data analysis, and visualisation
• Comfortable working with large datasets and applying statistical techniques
• Able to translate complex data into clear, commercial insights
• Collaborative and curious, able to take ownership of work and manage priorities independently within an Agile team environment
• Experience with BI tools, SQL, and data environments
• Strong programming skills

Nice To Have

• Python
• Power BI

What To Expect Next

• 1st stage: Introduction call with a member of the TA team (30 mins)
• 2nd stage: Take‑home assessment (2 hrs)
• 3rd stage: Onsite interview, presentation, competency and values (90 mins)

What We Offer

• Hybrid & Flexible Working
• Early Finish Friday – Working week of 34 hours with full‑time pay (Finish at midday on Friday)
• 30 days of annual leave plus bank holidays, with the ability to purchase an additional 5 days
• Private Medical Insurance + Employee Assistance Programme
• Medicash
• Pension Scheme (Matched to 7%)
• Family Leave (Enhanced)
• Electric vehicle scheme with on‑site charging points*
• Rewards platform with access to discounts at hundreds of shops, restaurants etc.*
• Flexible Benefits

Diversity Statement

We’re passionate about creating a workplace where every individual is valued, respected, and empowered. Somewhere we can benefit from all forms of diversity and discover the true value in our differences. If there are any adjustments we could make to the recruitment and selection process to support you, please let us know.

Security Statement

Nominet is committed to the safeguarding and welfare of the internet and expects all employees and volunteers to share this commitment by participating in the relevant security and screening processes. All roles working for Nominet will be subject to a Baseline Personnel Security Standard (BPSS) check. Some roles due to the nature of their work, will require additional security clearance.

Job Segment

Database, SQL, Technology

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Software Development