Senior Data Analyst I

About the Role

As a Senior Data Analyst, you have a solid understanding of best practices and can execute projects and initiatives without supervision from others. You are able to create advanced-level insights and recommendations. You are able to lead analytics efforts with high complexity, mostly independently.

Responsibilities

• The Senior Data Analyst role will support data scientists working within the Domains of the Research Data Platform. Domains are functional units that are responsible for delivering one or more data products, often through data science algorithms. Supporting this work could lead to a wide range of different analytical activities.
• For example, you may be asked to dive into large datasets to answer questions from product owners or data scientists; you may need to perform large-scale data preparation (data prep) in order to test hypotheses or support prototypes; you may be asked to review the precision and recall of data science algorithms at scale and surface these as dashboard metrics.
• You will need to have a keen eye for detail, good analytical skills, and expertise in at least one data analysis system. Above all, you will need curiosity, dedication to high quality work, and an interest in the world of scientific research and the products that Elsevier creates to serve it.
• Because you will need to communicate with a range of stakeholders around the world, we ask for candidates to demonstrate a high level of English.

Requirements

Stake Holder Management

Competencies

Key Results

Skills Required

Data Analysis, Python, Sql, Pandas, Apache Spark, Databricks, regular expressions