Senior Data Analyst - Content protection and discoverability
Londononsitesenior
Posted today · via Workday
About this role
Purpose of the role The way that academic research is being communicated to audiences around the globe is changing rapidly. Increasingly, research data can be consumed at scale through AI tools and machine intelligence, creating a moment of transition in research communication, and an opportunity to shape how millions discover, trust, and apply research, accelerating the translation of insight into real‑world impact faster than before. The purpose of this role is to turn Springer Nature’s traffic, usage and discovery data into the signals and evidence the team relies on to maximise the value of our content across the web, navigating this transition. This role sits at the intersection of content discoverability, content protection and data intelligence .…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, bigquery, grafana, dbt…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in London. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
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