Principal Data Analyst - Reference Data

Are you passionate about data and the value it can bring?  

Do you enjoy bringing people together and driving consensus around their data? 

Join our Team  

The Enterprise Data & Analytics team’s mission is to build an Elsevier-wide data engaged culture powered by defined data-management practices. Because informed decisions lead to better outcomes. We develop solutions for managing master and reference data, provide capabilities to manage and govern data assets, and provide analytical platforms to deliver valuable business insights. We support global standardisation in data management, analytics, and visualisation tools, via our comprehensive Elsevier data platform. We relentlessly advocate for sharing and re-use of data, embedding a data focused culture. 

About the Role  

The Principal Reference Data Analyst will own specific roadmap activities as allocated within the Enterprise Data Governance (EDG) team and will report to the Director of Data Governance & Product Data. You will be responsible for identifying and analysing reference data requirements across Elsevier, defining & delivering a pragmatic Reference Data Management (RDM) Approach and Framework, and the subsequent application of Reference Data maintenance capabilities across Elsevier. You will work closely with EDG team members, taking on responsibility for the end-to-end RDM capability. You will represent EDG to stakeholders across the company and be the knowledge representative for RDM.  Your success will be measured by the level of adoption of an effective and workable RDM implementation. 

Responsibilities  

• Build Reference Data Management Approach and Framework: Define and document a pragmatic, yet workable RDM approach and Framework. You will engage with multiple direct and indirect stakeholders across Elsevier to identify high level requirements and capabilities to inform the approach and framework. Within this Framework consideration must be given to Gen AI topics such as taxonomies, ML models, embedding vectors, etc 

• Gather current and future RDM requirements: Engage with direct and indirect stakeholders to gather both current (existing) and future requirements for both RDM capability and the data itself. Analyse existing business processes and their alignment with current systems or requirements. Conduct business process and business needs/requirements analysis on existing systems; identifying options for potential solutions and assessing for both technical and business suitability. Map reference data assets across the Elsevier landscape, including their criticality to the organisation and identification of data asset owners. Translate these requirements into clear and actionable user stories or specifications, prioritised according to organisation criticality, that will guide the development of a practical and implementable RDM capability. 

• Research RDM applications/ systems: Identify RDM applications/ systems/ capabilities both externally (vendors) and internally (bespoke Elsevier development) to create a System and Functional Requirements Matrix. Assess vendors/ Elsevier capabilities and provide a structured process to identify the best practice, fit-for-purpose options. Lead the review process to identify the best fit for Elsevier and provide a clear Business Case to RDM Stakeholders. 

• Reference Data Maintenance & Upkeep: Initiate improvements, quality analysis, enhancements, de-duplication, working processes, hands-on RDM clean-ups, education & training to support & guide all RDM Contributors & Curators. Maintain & review the prioritisation for critical datasets on an ongoing basis.  You will be the leading Reference Data Steward performing stewardship and curation of enterprise level reference data. You will hold data owners accountable for the reference data under their control across the Elsevier landscape. Drive & advocate input of RDM content (definitions, glossary, lineage, etc) into the Enterprise Data Catalog (EDC). 

Requirements  

• A passion for Data & Analytics & Reference Data Management with fundamental knowledge of Data Quality, Data Governance, and Data Architecture. 

• Able to both actively listen to and effectively question stakeholders on their requirements to provide appropriate business context for Reference Data Management.  

• Able to collaborate with groups of people from diverse backgrounds, skill levels and located across the global business. 

• Strong communication skills, written and verbal, including the ability to work effectively at other people’s level of confidence.  

• Accepts personal accountability for outcomes pertaining to their assignments and projects, whether success or failure. 

Work in a way that works for you  

We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and long-term goals.  

• Working remotely from home or in our office in a flexible hybrid style  

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive 

Working with us  

We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.  

Working for you  

At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:  

• Generous holiday allowance with the option to buy additional days  

• Access to learning platforms and encouragement to book up to 10 days focused learning/development time per year   

• Health screening, eye care vouchers and private medical benefits  

• Wellbeing programs  

• Life assurance  

• Access to a competitive contributory pension scheme  

• Long service awards  

• Save As You Earn share option scheme  

• Travel Season ticket loan  

• Maternity, paternity and shared parental leave  

• Access to emergency care for both the elderly and children  

• RELX Cares days, giving you time to support the charities and causes that matter to you  

• Access to employee resource groups with dedicated time to volunteer  

• Access to extensive learning and development resources  

• Access to employee discounts via Perks at Work  

About Us  

A global leader in information and analytics, we help researchers and healthcare professionals’ advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.  

Join Us  

Purposeful Work  
When you work with us, your work matters. You are part of an organization that nurtures your curiosity to stimulate innovation for the communities that we serve.  
  
Growing Every Day  
Like the communities we serve, you are on a constant path of discovery to shape your career and personal development.   
  
Colleagues Who Care  
You will be part of the Elsevier family. We will support your well-being and provide the flexibility you need to thrive at work and home.  
  
Together, we create possibilities.  
Join Us  

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