Senior Data Analyst

Senior Data Analyst I
 

Do you enjoy working with Data ?
 

Do you enjoy writing complex queries ?
 

About our Team
 

The Enterprise Data Platforms and Services (EDPS) team are a central technology group responsible for building, administering, governing, and setting global standards for a growing number of Elsevier strategic data platforms and services. The capabilities we are responsible for enable data to be collected, accessed, processed, and integrated across a wide range of digital business solutions, used by functions including billing and order management, customer and product master data management, and business analytics and insights delivery. Due to our footprint across the enterprise, we are relied upon to ensure our systems are trusted, reliable and available. The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, Collibra, Kafka, Airflow, and Kubernetes. This group has been created recently as part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platforms that enables a connected collection of enterprise-ready time saving services. Our mission is to enable frictionless experiences for all Elsevier colleagues, so that they can openly and securely consume and produce trustworthy data, enhancing everyday colleague and customer interactions and decisions.
 

About the Role
 

Supporting to modernize or replace existing data systems and to create new systems to accommodate new product lines
 

Responsibilities
 

• Building prototypes and proof-of-concepts ensuring we have well documented designs
• nforming and support team leadership decisions while enabling more accurate sizing and dependency mapping activities.
• Supporting Junior developers through best practice implementation by engaging in regular
• Building and design integration tools following all relevant best practices (especially relating to security)

Requirements
 

• Able to work with senior stakeholders to resolve issues, whilst being self-motivated and able to work with minimal guidance
• Experience with Data Analysis including PostgreSQL and SQL
• Experience with Python
• Experience with AWS data warehousing knowledge
• Able to conceptually and practically model data structures as well as the knowledge to design effective entity relationships
• Experience with changing needs within the organization, to rapidly evolving priorities, and able to mitigate impacts

Work in a way that works for you
 

We promote a healthy work/life balance across the organisation. 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 your long-term goals.
 

• 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 for you
 

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
• Health screening, eye care vouchers and private medical benefits
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme
• Travel Season ticket loan
• Electric Vehicle Scheme
• Optional Dental Insurance
• Maternity, paternity and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES 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 scheme via Perks at Work

About the Business
 

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.
 

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Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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