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Data Research & Analytics
RES0017S Requisition #

Elsevier’s mission as an Information Analytics company is to lead the way in advancing science, technology and health.

In Research Products we understand that Researchers seek a digital environment where ideas can be exchanged, examined, and applied with tools that empower scientific, medical and technical knowledge.

Our aim is to deliver best-in-class software for researchers around the world, supporting better academic outcomes.


In this Product Analyst role, you would be working on, for example:

  • An award winning start-up called Mendeley and will help them build the world’s best reference manager
  • The biggest world’s scientific publishing platform, ScienceDirect.

How Product Analytics drives customer 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.  Like us, you thrive in a complex data environment.  We like getting our 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).

Your responsibilities

As a Digital Product Analyst you’ll be working on the following problems on a daily basis and drive business decisions with your insights:

 What you should do:

  • Define the right metrics. Use your deep knowledge of user behaviour to define performance metrics with your stakeholders that align with user success and satisfaction. Then make sure tagging and tracking is in place to measure those KPIs.
  • Measure performance. Set up dashboards and reports to track performance. Build models to forecast product performance and predict user behaviour to know whether your product is meeting expectations. If not, analyse why and drive action.
  • Identify and test opportunities for improvements. Grounded in deep analysis of our datasets, generate hypotheses and validate them through online experimentation and AB testing. Then deliver these together with product managers, designers and engineers.
  • Support strategic decisions and roadmaps. 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.
  • Advocate Data-driven culture. 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: 
  • Education. Master-level degree or higher with quantitative focus (Statistics, Mathematics, Physics, Computer Science, or more broadly Economics, Sciences with a strong statistical foundation) 
  • Experience. 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. Demonstrable experience in data analysis and insight generation with business impact, incl. building predictive models. Ability to initiate and drive projects to completion with minimal guidance. 
  • Technical skills. 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). Strong Excel (formulas, graphing, pivot tables, linking) and PowerPoint skills. 
  • Communication & Stakeholder management. 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 engage with multiple stakeholders across the wider business.
What we offer:  
  • Competitive salary and a 13th month

  • 27 days of leave

  • Attractive collective health care insurance package with considerable reduction rates

  • Solid Pension Plan, with a choice between a collective pension plan an individual pension plan

  • Profit share or bonus plan subject to the company annual results

  • Flexible working arrangements

  • Travel allowance for commuting

  • Reductions to several personal insurance packages due to our collective agreements

  • Free in-house sport facilities

  • Numerous training, coaching and e-learning modules for long term job opportunities and development

  • Several local and global networking communities to share best practices and knowledge

  • Various social responsibility programs, channeling knowledge and strengths to help communities around the world improve education, science, health care and protect the environment.

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