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Data Research & Analytics
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Elsevier
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DAT00002 Requisition #

Elsevier’s data (such as customer records, product metadata, sales and marketing information, financial data, supplier records, and material masters) reside in 100+ systems, presenting unique challenges in defining and implementing common standards for quality and protection, as well as in maintaining clear and linked ownership for managing data. Process and system efficiencies combined with high levels of data quality and the ability to analyze the data fully and efficiently across the company are essential to the continued success of our company.  

 

The Data & Analytics Organization is responsible for defining the vision for Data and Analytics as well as implementing data and analytics solutions for the benefit all of Elsevier’s business units.  To help us deliver on our Analytics targets we are seeking a Data Analyst. 


The position will support the Head of Analytics and will focus on gathering and analysis of enterprise data with the goals of developing prototype and pilot data analytics solutions.

 

 

What you should do:

  • Facilitating business transformation through the elicitation of business requirements, development of business analysis artefacts (process maps, stakeholder analysis, benefits maps, etc.), application of process improvement methodologies in line with business and corporate strategies. Collecting and analyzing data so insights can be used to support business decision making throughout Elsevier. Prioritize analysis to achieve maximum commercial impact.
  • Analyze, organize, hypothesize and present data to translate information requests from the business into useful reports and dashboards. 
  • Using technical knowledge explore new analysis, intelligence, and visualization technologies, applications and systems that can be adopted in the future or that can improve the services we deliver to our customers.
  • Effectively communicate and liaise with colleagues across hierarchical positions, geographic locations and functional areas to present problem resolution and create reports/dashboards that deliver insights.  

What you should bring:

 
  • BS or BA degree (BS in Mathematics, Economics, Computer Science, Information Management, Engineering or Statistics are ideal) 
  • 3+years practical data analysis/computing/commercial experience in an analytical role, preferably in a large, global organisation
  • 3+years experience in business analysis of business and/or digital transformation projects
  • Results driven with high level of attention to detail as well as customer-focused
  • Data management literacy essential, particularly data quality
  • Data blending experience required in joining and transforming complex data into an analysis-ready dataset. 
  • Understand and explain a range of statistical analysis and modelling techniques and their uses. Ability to use advanced tools such as Python and R
  • Data visualisation experience essential, e.g. presenting actionable insights in a simple story. Effective visualisation representation of story (emotion/connection). Advanced knowledge of visualisation tools especially Tableau
  • Able to communicate complex, detailed technical/analytical data via enhanced verbal and written communication skills including to non technical/analytical audience/Senior Management team level as required
  • Working across global (matrix) organisations to obtain required detailed input to data requirements to define complex, multi-facted use cases.
  • Cooperative and a team player who easily gains trust and support of peers and senior management 
  • Ability to build effective working relationships/network with users and stakeholders
  • Understands cultural differences with the ability to interact appropriately with stakeholders across the globe
  • Analytical, numerate and technical mindset and innovative thinker mentality
  • Customer-service driven and keen understanding of customer needs and expectations
  • Willingness to travel 
 

 

 

 

 

 

 



 

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