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Data Research & Analytics
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Elsevier
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RES00146 Requisition #

Researchers seek a digital environment where ideas can be exchanged, examined, and applied with tools that empower scientific, medical and technical knowledge. Elsevier’s research platform for example allows them to access the leading ebooks and journal articles published by Elsevier; to manage their research and showcase their profile; and to submit their manuscripts with streamlined, effective and efficient submission flows optimized for authors, reviewers and journal editors.


The aim of our Research Products division is to deliver best-in-class software and tools for researchers around the world, supporting better academic outcomes. Within Research Products, the role of the Product Analytics team is to turn the multitude of data into insights and AB testing opportunities that can be used to build better digital products and improve the experience for our users. 


As a Digital Product Analyst, you thrive in a complex data environment.  Like us, you like getting your hands into the data, focusing on insights which drive actions and product improvements. We extract data and make sense of it using SQL, Python/R, Tableau/Adobe Analytics and quantitative techniques (such as regression, or statistical testing). And we work closely with the Product Management teams to help improve our products and user experiences through data-driven product optimization.


Within a team of ~20 analysts, you will have the unique ability to work on some of the most insightful data in the world of research.  

 

Your responsibilities: 

  • Use your deep knowledge of user behaviour to define performance metrics with your stakeholders
  • Grounded in deep analysis of our datasets, make recommendations to improve our user-facing products (eg. ScienceDirect, Mendeley, EES, EVISE, Editorial Manager) together with product managers, designers and engineers. 
  • Optimise these products through continuous testing and guide the product teams through iterative data-driven product optimisation. 
  • Build models to forecast product performance and predict user behaviour. 
  • Innovate and discover new insights by diving deeply into the data, combining various sources (including database and web-analytics data sources) from across the business, to support decisions and resolve strategic questions. 
  • Communicate insights and information effectively and engagingly, through presentations, reporting and dashboards to all levels of the organisation.  
  • Advocate for a data-driven culture and help your stakeholders in how to interpret results, train them to use our Product Analytics software.

What you should bring:

  • Master-level degree or higher with quantitative focus (Statistics, Mathematics, Physics, Computer Science, or more broadly Economics, Sciences with a strong statistical foundation)
  • Proven experience (5+ years) as an analyst, supporting Product Managers by analyzing user behaviour and product feature performance
  • Proven experience in digital product optimisation, A/B testing, incl. web-analytics tools and techniques
  • Proficiency with SQL, scripting (eg. Python, R) and the ability to analyze and combine large data sets in cloud data warehouse services such as Amazon Redshift (or other Postgres DB) and analytics platforms such as Databricks (Apache-Spark)
  • Demonstrable experience in data analysis and insight generation with business impact, incl. building predictive models
  • Strong Excel (formulas, graphing, pivot tables, linking) and PowerPoint skills
  • Strong communicator and fluent in English (speaking and writing)
  • Ability to communicate the findings and recommendations of analysis in a clear and effective manner at all levels, incl. experience with visual reporting and dashboarding tools (e.g. Tableau)
  • Ability to initiate and drive projects to completion with minimal guidance.
  • Ability to engage with multiple stakeholders across the wider business.

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