Senior Data Analyst I

The Content and Data Analytics team is a part of DataOps within Global Operations at Elsevier, focusing on providing data analysis services primarily using Databricks. The team primarily serves product owners and data scientists of Elsevier's Research Data Platform, contributing to the delivery of leading data analytics products for scientific research, including Scopus and SciVal. As a Senior Data Analyst at Elsevier, you are expected to have a solid understanding of best practices and the ability to execute projects and initiatives independently. You should be capable of creating advanced-level insights and recommendations, as well as leading analytics efforts with high complexity autonomously. Your responsibilities will include supporting data scientists within the Domains of the Research Data Platform, engaging in various analytical activities such as analyzing large datasets, performing data preparation, and reviewing data science algorithms. You must possess a keen eye for detail, strong analytical skills, expertise in at least one data analysis system, curiosity, dedication to quality work, and an interest in scientific research. The requirements for this role include a minimum of 5 years of work experience, coding skills in at least one programming language (preferably Python) and SQL, familiarity with string manipulation functions like regular expressions, prior exposure to data analysis tools such as Pandas or Apache Spark/Databricks, knowledge of basic statistics relevant to data science, and experience with visualization tools like Tableau/Power BI. You will be expected to build and maintain strong relationships with Data Scientists and Product Managers, align activities with stakeholders, and present achievements and project updates to various stakeholders. Key competencies for this role include collaborating effectively as part of a team, taking initiative in problem-solving, and driving tasks to successful conclusions. Elsevier offers various benefits to promote a healthy work-life balance, including well-being initiatives, shared parental leave, study assistance, and sabbaticals. Additionally, the company provides comprehensive health insurance, flexible working arrangements, employee assistance programs, modern family benefits, various paid time off options, and subsidized meals. The company prides itself on being a global leader in information and analytics, supporting science, research, health education, and interactive learning while addressing the world's challenges and fostering a sustainable future.,