Data Analyst III
About Our Team
The Content and Data Analytics team is part of DataOps, which is an integral part of Global Operations at Elsevier. We provide data analysis services, primarily using Databricks, and mostly serve product owners and data scientists of Elsevier’s Research Data Platform. Our work contributes to the delivery of leading data analytics products for the world of scientific research, including Scopus and SciVal.
About the Role
A Data Analyst III should have a basic understanding of best practices and can execute on projects and initiatives with supervision from others. Individuals will create basic level insights and recommendations in their area of expertise. Individuals in this role will continue to provide support to the analytics team members and begin to lead analytics efforts with low complexity.
Responsibilities
This role is located within DataOps and supports Data scientists/Product owners 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, and 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 (dataprep) 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
Minimum work experience of 3 years
Coding skills in at least one programming language (preferably Python) and SQL
Familiarity with common string manipulation functions such as regular expressions (regex)
Experience with Pandas, Apache Spark/Databricks, Snowflake SQL, and Collibra, supporting data analysis, data governance, and metadata management
Knowledge of basic statistics relevant to data science – eg. precision, recall, F-score
Knowledge of visualization tools such as Tableau/Power BI is a plus
Experience of working with Agile tools such as JIRA is a plus
Stake Holder Management
Build and maintain strong relationships with Data Scientists and Product Managers.
Align activities with Data Scientists and Product Managers.
Present achievements and project status updates, both written and verbally, to various stakeholders.
Competencies:
Collaborates well and works effectively as part of a team
Takes initiative and is proactive in suggesting approaches or solutions to problems
Drives for results by taking a task to a polished conclusion
Key Results:
Understand the requirements of a given task
Identify, gather, prepare and refine data
Interpret and understand large data sets
Report findings to stakeholders through effective story telling
Formulate recommendations and requirements
Identify and address new opportunities
Working for you:
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:
- Comprehensive Health Insurance: Covers you, your immediate family, and parents.
- Enhanced Health Insurance Options: Competitive rates negotiated by the company.
- Group Life Insurance: Ensuring financial security for your loved ones.
- Group Accident Insurance: Extra protection for accidental death and permanent disablement.
- Flexible Working Arrangement: Achieve a harmonious work-life balance.
- Employee Assistance Program: Access support for personal and work-related challenges.
- Medical Screening: Your well-being is a top priority.
- Modern Family Benefits: Maternity, paternity, and adoption support.
- Long-Service Awards: Recognizing dedication and commitment.
- New Baby Gift: Celebrating the joy of parenthood.
- Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
- Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
- Free Transport pick up and drop from the home -office - home (applies in Chennai)
About the business:
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. What you do every day will help advance science and healthcare to advance human progress.
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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EEO Know Your Rights.
Skills Required
- Minimum work experience of 3 years
- Coding skills in at least one programming language (preferably Python) and SQL
- Familiarity with string manipulation functions such as regular expressions (regex)
- Experience with Pandas, Apache Spark/Databricks, Snowflake SQL, and Collibra
- Knowledge of basic statistics relevant to data science (precision, recall, F-score)
- High level of English for 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.








