Clarivate is inviting applications for the Associate Content Analyst position in Noida, India. The role focuses on collecting, reviewing, analyzing, classifying, and curating data from multiple sources to improve information discoverability across Clarivate’s databases.
This is a full-time, hybrid job opportunity with requisition ID JREQ136389.
Job Details
| Particulars | Details |
|---|---|
| Company | Clarivate |
| Job Title | Associate Content Analyst |
| Job Requisition ID | JREQ136389 |
| Location | Noida, India |
| Work Mode | Hybrid |
| Employment Type | Full-time |
| Qualification | Bachelor’s Degree or equivalent |
| Job Category | Content Analysis and Data Curation |
Position
Clarivate is recruiting for the Associate Content Analyst role, which involves maintaining database content quality, applying appropriate data classification, and ensuring accurate and timely updates in accordance with established editorial policies and procedures.
Job Responsibilities
Selected candidates will be responsible for:
- Reviewing, curating, and analyzing data sources to identify and index specific product requirement fields.
- Classifying and indexing data within the relevant product databases.
- Ensuring content completeness, proper data structure, accuracy, and timely updates.
- Following established data operational guidelines and suggesting improvements when gaps or inconsistencies are identified.
- Using designated tools to maintain and update databases within required timelines.
- Prioritizing assigned work according to training plans, schedules, and segment policies.
- Developing subject-matter expertise and staying informed about products and current trends.
Eligibility and Qualifications
Candidates must meet the following minimum qualification:
- Bachelor’s Degree or equivalent.
Required Skills
The job responsibilities require the following capabilities:
- Data collection, review, and analysis
- Data classification and indexing
- Content curation and database maintenance
- Data accuracy and quality control
- Following editorial policies and operational guidelines
- Identifying data inconsistencies and recommending improvements
- Work prioritization and timely task completion
- Subject-matter learning and awareness of current trends
