Senior Data Analyst

Are you interested in working with data and analytics to solve problems and deliver value?

Do you want to work in a dynamic, international team that help engineers and scientists to capitalize on Elsevier’s trusted content?

We are now looking for a Sr. Data Analyst to join our team in Chennai!

As a Sr. Data Analyst within the Engineering Semantics team, you will contribute to driving continuous improvements in vocabulary management and semantics tagging to support Knovel, Elsevier’s platforms for practicing engineers. You will work closely with interdisciplinary teams to translate Product and Data Science requirements for Technology and contribute to the expansion of data models. You will be responsible for managing engineering vocabularies in Knovel Content Management System (CMS) and lead discussions with Tech Teams on semantic tagging of engineering content and improvement of database structure. This entails combining engineering semantics with database design and data science.

In addition to that, you will be responsible for executing ML and (G)AI projects to derive meaningful insights from complex datasets and support the development of optimal search solutions. You will be joining an enthusiastic team, reporting to the Senior Manager of Engineering Content and you will be part of the Data Science Research Content Operations division.

Your responsibilities:

· Define and implement best practices for semantic tagging of engineering content and work closely with Tech teams to define database requirements.

· Work closely with interdisciplinary teams, including Data Scientists, Tech Teams, and Domain Experts, to support the business needs and contribute to the continuous improvement of Knovel database structure and Content Management System.

· Contribute to design data models, vocabularies and knowledge graphs.

· Execute and report on ML and data analytics projects to collect data insights that drive business decisions and goals.

· Support the DS RCO team broadly beyond the engineering portfolio.

What you should bring:

· A master’s degree in computer science or data science and 3-5 years of relevant experience.

· Proficiency in statistical analysis and data mining techniques.

· Fluency in handling large datasets, in database design and in database management systems like SQL Server, MSSQL Server Management Studio or MySQL.

· Strong skills in programming languages such as Python.

· Experience working with Databricks or SPARK.

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· Familiarity in vocabulary management and semantic tagging including RDFS, SKOS-XL, SPARQL.

· Knowledge of machine learning algorithms and applications in data analysis.

· Capacity to design innovative solutions to data-related challenges.

· Excellent verbal and written communication skills (fluent English).

· High level of accuracy in data handling and interpretation.

· Ability to maintain and build-out relationships in a matrix and multicultural organization.

· Strong analytical thinking and the ability to approach problems methodically.

· Ability to manage and prioritize multiple projects simultaneously.

· Ability to work remotely, proactively and independently.

· General familiarity with the engineering field is a plus.

· Knowledge of industry standard best practices regarding book publishing is a plus.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your 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

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. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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Elsevier is 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. 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: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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