Springer Nature on cord

Springer Nature

Senior Data Analyst

External position
London, UK
Hiring internally for Springer Nature?
Publishing · Academic/Research
Opening doors to scientific discovery
Active
over 6 months ago
Posted
a week ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data/Insight Analyst
Experience level: Senior
Core skills considered: SQL, Data Analysis, Data Visualisation, Data Mining, Data Modeling
Other skills considered: Data Pipelines, Data Protection, Data Security, Privacy, Python

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: On-site
Visa sponsorship: Not available

Job Description

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.

You will help the organisation understand how Springer Nature content is being discovered, accessed and used across search engines, academic discovery services, AI-powered tools, content aggregation platforms and other external channels. At the same time, you will identify and measure inappropriate access, automated scraping and content extraction activities to ensure discoverability is achieved without undermining platform traffic, entitlements or commercial value.

You will own the analytical foundations of both disciplines: identifying and measuring the signals that indicate successful discovery, as well as those that indicate abuse. Working closely with product, platform, analytics and security teams, you will provide the evidence needed to shape strategy, prioritise interventions and measure outcomes.


Key Responsibilities

Content Discoverability & External Platform Analytics

  • Analyse how Springer Nature content is discovered across external channels, including search engines, scholarly discovery services, library platforms, aggregators, citation networks, AI-powered discovery tools and emerging content platforms
  • Develop and maintain a framework of discoverability metrics, signals and KPIs to measure the effectiveness of content distribution and discovery strategies
  • Identify the external signals that indicate successful content discovery, engagement and conversion back to Springer Nature properties
  • Measure the impact of metadata quality, indexing, platform integrations and content syndication on discoverability outcomes
  • Track changes in referral patterns, search visibility and external platform behaviour, identifying opportunities and risks
  • Evaluate the trade-offs between maximising reach and preserving platform traffic, user engagement and commercial value
  • Provide recommendations to product and business stakeholders on how content should be surfaced, exposed and protected across external ecosystems
  • Build analytical models to understand the relationship between discoverability, content consumption, platform traffic and downstream business outcomes

Content Protection & Traffic Intelligence

  • Analyse WAF, traffic and behavioural data, primarily in BigQuery, to identify scraping, bot activity and unauthorised content extraction using fingerprint analysis, behavioural signals and network data
  • Build and maintain a portfolio of detection signals and continuously evolve them as threat actors change their tactics
  • Measure detection performance through coverage, precision, false-positive rates and baseline benchmarking
  • Quantify the scale and commercial impact of content scraping and content leakage to support prioritisation and investment decisions
  • Investigate incidents and anomalous traffic patterns, distinguishing legitimate institutional and authenticated users from malicious automation
  • Work closely with the Security Specialist Engineer, who will implement and enforce controls, while you identify, measure and validate the underlying signals
  • Help define the evidence base for decisions about content exposure, rate limiting, entitlement enforcement and platform protections

Insight, Reporting & Stakeholder Engagement

  • Design and maintain dashboards and reporting that communicate discoverability performance, content protection effectiveness and emerging risks
  • Translate complex data findings into clear recommendations for product, platform, security and senior stakeholders
  • Establish meaningful baselines, benchmarks and success measures for both discoverability and protection initiatives
  • Support product strategy by providing evidence-driven insights into user behaviour, content consumption patterns and external ecosystem trends
  • Contribute to experimentation and measurement frameworks that assess the impact of product, metadata, discovery and protection changes

Essential Skills & Experience

  • Strong SQL skills, particularly BigQuery, with experience working on large-scale datasets.
  • Strong analytical and statistical capability, including the ability to identify patterns, anomalies and behavioural trends
  • Experience analysing web traffic, referral data and user journeys across digital products.
  • Understanding of content discoverability, search and referral ecosystems, or the ability to quickly develop expertise in this area
  • Interest in bot detection, behavioural analytics, fingerprinting and content protection challenges
  • Ability to connect multiple data sources to build a coherent picture of user behaviour and content usage
  • Excellent communication skills, with the ability to turn data insights into actionable recommendations and compelling stakeholder narratives
  • Strong understanding of data security and governance

Desirable

  • Python or other scripting experience for data analysis and automation
  • Experience with dashboarding and visualisation platforms such as Looker, Grafana or similar tools
  • Exposure to security analytics, threat intelligence or fraud detection
  • Understanding of SEO, scholarly discovery services, content metadata or digital content distribution ecosystems
  • Familiarity with access management, authentication or entitlement systems
  • Experience within academic publishing, research information systems or scholarly communications
  • Experience with modern data transformation tooling such as Dataform or dbt
  • Experience developing classification or machine learning models for user behaviour analysis, anomaly detection or segmentation
  • Experience measuring the impact of external platforms on traffic, engagement, discoverability and commercial outcomes

Company Benefits

TBC
Senior Data Analyst at Springer Nature
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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