https://bayt.page.link/ZaJKM2kuckewjoP68
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الوصف الوظيفي

Digital Content Management Analyst II


About Our Team:



Data Operations (DO) within Elsevier is responsible for ensuring that secondary content is correctly acquired, processed, stored, distributed to external customers, and made available on Elsevier's product websites for end users. The Data Specialist will closely collaborate with various stakeholders, establish data-quality metrics and requirements, and create reports for monitoring quality and corrections. They are responsible for analyzing and categorizing data, capturing information, and systematically organizing data. They use a variety of technical skills, including data mining, data modeling, and extracting and interpreting data from large datasets. A Data Specialist requires strong business acumen and communication skills.


About the Role:



Plans, designs, develops, acquires, coordinates, and maintains written content for websites. Writes and proofreads original content and edits content developed by others. Coordinates the development of web content strategies. May review site traffic and search engine optimization (SEO) activity to ensure editorial content is helping to increase user recruitment and retention. This role offers an opportunity to develop professional knowledge in a collaborative environment.


Responsibilities:



  • Excellent organizational skills and ability to prioritize tasks



  • Strong communication skills (both verbal and written) in English



  • Ability to work well in a team and build rapport



  • Strategic thinking



  • Pro-active and adaptable



  • Assertive and result-oriented



  • Analytical and problem-solving skills


Requirements:



  • Proficiency in MS Office Applications (including advanced Excel, Access, Word, PowerPoint, and Visio), Tableau, Databricks, and Confluence



  • In-depth knowledge of publishing standards and content formats



  • Understanding of bibliographic databases used within the DO (such as data capture and enhancements)



  • Technical writing, data modeling, and programming skills (Python, Pyspark)



Education, Knowledge, Skills, and Experiences



  • Any bachelor's degree or equivalent experience



  • Minimum of 3 years of relevant work experience



Work in a Way That Works for You:



We promote a healthy work/life balance and provide numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals.



Working for You:



We offer comprehensive benefits to support your health and well-being, including:



  • Comprehensive Health Insurance for you and your family



  • Enhanced Health Insurance Options at competitive rates



  • Group Life Insurance for financial security



  • Group Accident Insurance for protection against accidental death and permanent disability



  • Flexible Working Arrangements to help achieve work-life balance



  • Employee Assistance Program for support with personal and work-related challenges



  • Medical Screening to prioritize your well-being



  • Modern Family Benefits, including maternity, paternity, and adoption support



  • Long-Service Awards to recognize dedication



  • New Baby Gift to celebrate parenthood



  • Subsidized Meals in specific locations



  • Various Paid Time Off, including Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Public Holidays



  • Free Transportation for home-office-home travel in select locations


About the Business:



Our organization is a global leader in information and analytics, aiding researchers and healthcare professionals in advancing science and improving health outcomes for society. We combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and fostering a more sustainable future. We harness innovative technologies to support science and healthcare, partnering 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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