Web Analyst (Product & Audience Analytics)

HYBRID / LOCATION (1 - 2 days/week in our Holborn, London office)

SALARY: £50,000 per annum

We’ve modernised our analytics stack and need a hands‑on web analyst to run with it, using strong SQL skills, sharp analytical judgement, and clear communication to turn behavioural data into better everyday decisions. Times Higher Education is the data provider underpinning university excellence in every continent across the world. As the company behind the world’s most influential university ranking, and with almost five decades of experience as a source of analysis and insight on higher education, we have unparalleled expertise on the trends underpinning university performance globally.

Our data and benchmarking tools are used by many of the world’s most prestigious universities to help them achieve their strategic goals and our events series act as the home of higher education thought leadership around the world. This role is about using data well day-to-day: understanding user behaviour, answering real business questions, and helping teams make better decisions. You’ll work hands‑on with behavioural data, partner closely with colleagues across the business, and help embed analytics into how work gets done.

We’re looking for someone with strong analytical judgement, good SQL skills, and the ability to listen, explain, and influence, not someone to define a strategy from a blank page. The setup includes event tracking, a cloud data warehouse, governed transformations, and Tableau for reporting. You don’t need to be an expert in every component — we expect people to learn as they go.

You will sit in a well‑respected and tightly focused team of analysts and developers.

• An all‑rounded web analyst with experience of working in a commercially driven environment delivering insight to a range of different audiences from Editorial, Product and SMT.
• Proven experience working with raw, web event data (e.g. clickstream logs / event streams), including event schema design, validation, and transformation—not just reporting from GA4.
• Build and maintain reliable datasets/models for reporting and analysis (e.g. SQL transformations, dbt models, documented metrics definitions).
• Monitor data quality: completeness, duplicates, bot traffic, anomalies, and changes due to releases or tracking updates.
• Demonstrated ability to stay up to date with the latest developments in web analytics and wider trends in AI.
• Strong stakeholder management and presentation skills.
• Exposure to modern BI or data stacks.
• Competence in BI tools and Microsoft Office.
• Can demonstrate experience of driving change through analysis.

With colleagues located around the world, we know that our individuality and diversity of experiences are our greatest strengths. That’s why we want THE to be a place where you are welcome to be who you want to be at work; where you can share whatever part of your life or self-identity you want, without obligation or facing discrimination; and where all abilities and perspectives are recognised and accommodated.