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.
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 or please contact 1-855-833-5120.
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We are 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.
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Skills Required
- 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
- 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 such as Pandas, PySpark, Databricks, or Snowflake
- Familiarity with string manipulation functions or libraries, such as regular expressions (regex)
- Experience using basic statistics relevant to data science, such as precision, recall, and statistical significance
- Strong understanding of data-quality dimensions, analytical validation, and root-cause analysis
- High level of English proficiency for global stakeholder communication
- Knowledge of visualization tools, such as Tableau or Power BI
- Experience working with Agile tools, such as JIRA
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
