Senior Data Analyst I

• The Senior Data Analyst role will support Product Owners or Data Scientists working within the domains of the Research Data Platform.

• Domains are functional units responsible for delivering one or more data products, often through data science algorithms.

• The role may involve a wide range of analytical activities, including analyzing large datasets to answer questions from Product Owners or Data Scientists.

• The role may also include large-scale data preparation to test hypotheses, support prototypes, and review the precision and recall of data science algorithms at scale.

• Candidates should have a keen eye for detail, strong analytical skills, and expertise in at least one data analysis system, along with curiosity and a commitment to high-quality work.

• Since the role requires communication with stakeholders across the world, candidates should demonstrate a high level of English proficiency.

• Minimum of 5 years of work experience in business intelligence, data engineering, analytics, data analysis, or related discipline

• Strong SQL skills, including experience working with large and complex datasets.

• Coding skills in at least one programming language, preferably Python

• Familiarity with common string manipulation functions or libraries, such as regular expressions (regex)

• Practical experience using Databricks, Apache Spark, PySpark, Pandas, or similar distributed data-processing technologies.

• Practical experience analysing, transforming, and validating structured or tabular data using tools or libraries such as Pandas, PySpark, Databricks, or Snowflake.

• Experience using basic statistics relevant to data science, such as precision, recall, and statistical significance

• Knowledge of visualization tools, such as Tableau or Power BI, is a plus

• Experience working with Agile tools, such as JIRA, is a plus

• Strong understanding of data-quality dimensions, analytical validation, and root-cause analysis.

• Build and maintain strong relationships with Product Managers and Data Scientists.

• Align activities with Product Managers and Data Scientists.

• Present achievements and project status updates, both in writing and verbally, to various stakeholders.

• Business & Requirements Analysis: Elicits, structures and documents requirements to support effective delivery.

• Delivery Focus: Supports teams to move from intent to implementation through clear, high‑quality delivery artefacts.

• Collaboration: Works effectively with product, engineering and governance stakeholders.

• Communication: Clearly explains requirements, analysis and delivery implications to technical and non‑technical audiences.

• Understand the requirements of a given task

• Identify, gather, prepare, and refine data

• Interpret and analyze large datasets

• Report findings to stakeholders through effective storytelling

• Formulate recommendations and requirements

• Identify and address new opportunities

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:

• Group Health Insurance Policy (covering self and family)

• Group Life insurance/accident policy

• Generous long-service awards

• New Baby gift

• Subsidized food provided (applies to India- Chennai)

• Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave

• Free Transport provided to and from the office (applies to India-Chennai)

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 We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click