Senior Data Analyst I

Senior Data Analyst-I

Do you like working with data and analytics to gain insight to solve problems?

Do you enjoy collaborating across teams to build and deliver products that make a difference?

About Our Team:-

The Content and Data Analytics team is part of DataOps within Global Operations at Elsevier. We provide analytics services primarily using Databricks, supporting Product Owners, Product Managers, Data Scientists, and Research Data Platform domain teams. Our work contributes to Elsevier products including Scopus and SciVal.

About the Role:-

As a Senior Data Analyst , you will independently deliver complex analytical activities using Databricks, Snowflake, SQL, Python, and related technologies. You will work with Product Owners and other stakeholders to analyse large datasets, create advanced-level insights and recommendations, assess data and product quality, and support the development and improvement of data products.

Responsibilities:-

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.

Requirements:-

Expected skills: Databricks, Python, Pandas, PySpark, Apache Spark, Snowflake, JIRA, Tableau, Power BI

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.

Stakeholder Management

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.

Competency

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.

Key Results

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

Work in a way that works for you: -

We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and 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: -

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)

About Us: -

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







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

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