Associate Content Analyst

📌 Core Information

🔹 Job Title: Associate Content Analyst

🔹 Company: Clarivate

🔹 Location: India

🔹 Job Type: On-site

🔹 Category: 📊 Marketing Analyst

🔹 Date Posted: Tue Apr 01 2025

🔹 Experience Level: 0-2

🔹 Remote Status: Hybrid

📌 Essential Job Details

🚀 Job Overview

Key aspects of this role include:

• Working with the Scholarly Items content operations team
• Extracting and curating bibliographic information from scholarly articles
• Ensuring data quality and consistency for the 'Web of Science' product
• Following editorial policies and procedures

ASSUMPTION: The role involves detailed bibliographic data curation specifically relevant to the 'Web of Science', requiring meticulous attention to detail and adherence to set standards to maintain data integrity.

📋 Key Responsibilities

✅ Extract and curate bibliographic information such as publication details, article titles, author information, keywords, and abstracts from the articles.

✅ Follow prescribed editorial policies to capture bibliographic information accurately.

✅ Ensure minimum required elements and data dependencies are validated for format consistency across SAR products.

✅ Work to achieve and maintain consistent quality standards and personal planning.

ASSUMPTION: Given the detailed nature of the tasks, a focus on accuracy and a methodical approach is likely emphasized to ensure high-quality data entry and validation.

🎯 Required Qualifications

Education: Undergraduate degree in B.Com, B.Sc., BBA, BA, BCA, or related fields.

Experience: Experience in the publishing industry is advantageous.

Required Skills:

• Data Curation
• Content Analysis
• Typing Skills
• Attention to Detail
• Communication Skills
• English Comprehension

Preferred Skills:

• Experience in the publishing industry
• Advanced typing and analytical skills

ASSUMPTION: While specific industry experience is not strictly required, it is likely valued for its relevance to the role’s responsibilities.

💰 Compensation & Benefits

Salary Range: Not specified, typically determined by local market standards for entry-level roles in data analysis or content management.

Benefits:

• Standard company benefits applicable in India
• Possibility of professional development opportunities
• Collaborative and supportive team environment

Working Hours: 9.00 AM to 6.00 PM IST (including 1 hour break)

ASSUMPTION: Compensation is likely competitive, commensurate with experience and local industry standards.

📌 Applicant Insights

🔍 Company Context

Industry: Information Services, providing resources for Academia & Government, Intellectual Property, Life Sciences & Healthcare

Company Size: 10,001+ employees, suggesting robust resources and diverse career opportunities

Founded: Not specified

Company Description:

• Global provider of transformative intelligence solutions
• Focus on data enrichment, insights & analytics
• Offers workflow solutions and expert services

Company Specialties:

• Scientific and academic research
• Intellectual property management
• Trademark and brand protection

Company Website: https://www.clarivate.com/

ASSUMPTION: Information provides a snapshot of company operations and scope, indicating potential for varied career paths.

📊 Role Analysis

Career Level: Entry-level, potential for growth in data analysis and content management roles

Reporting Structure: Likely reporting to a Content Manager or Team Lead

Work Arrangement: Hybrid, indicating flexibility and a mix of on-site and potential remote work

Growth Opportunities:

• Development into senior content analysis roles
• Potential to transition into related data-driven roles
• Opportunities for industry-specific skill enhancement

ASSUMPTION: Career progression will likely depend on performance, skill acquisition, and internal company opportunities.

🌍 Location & Work Environment

Office Type: Corporate office, typical for a large global firm

Office Location(s): Chennai/Hyderabad

Geographic Context:

• Chennai and Hyderabad are major IT hubs in India
• Access to local amenities and tech communities
• Opportunities for professional networking and career growth

Work Schedule: Typical office hours, possibly with some flexibility in hybrid model

ASSUMPTION: The location offers a vibrant, competitive environment conducive to professional development.

💼 Interview & Application Insights

Typical Process:

• Initial application review
• Preliminary interview
• Technical assessment

Key Assessment Areas:

• Skill proficiency in data curation and analysis
• English communication skills
• Attention to detail

Application Tips:

• Highlight relevant experience in data handling or publishing
• Demonstrate typing skills and accuracy
• Express interest in contributing to significant data-driven projects

ATS Keywords: Data Curation, Web of Science, Content Analysis, Bibliographic Data, English Communication

ASSUMPTION: The process is designed to assess suitability for a niche role requiring specialist skills.

🛠️ Tools & Technologies

• Web of Science platform
• Bibliographic databases
• Data validation and processing tools

ASSUMPTION: Familiarity with bibliographic tools and online research platforms will be beneficial.

👔 Cultural Fit Considerations

Company Values:

• Commitment to innovation and excellence
• Dedication to quality and accuracy
• Encouragement of collaboration and teamwork

Work Style:

• Detail-oriented and methodical approach
• Team collaboration with independent initiative
• Ability to adapt to a dynamic work environment

Self-Assessment Questions:

• Are you comfortable handling detailed academic data?
• Do you thrive in a team-based environment?
• How do you ensure accuracy and quality in your work?

ASSUMPTION: Success in this role likely depends on a mix of technical skills and cultural alignment with organizational values.

⚠️ Potential Challenges

• Handling intricate bibliographic details accurately
• Maintaining consistency and quality across large datasets
• Adapting to editorial policy and procedural changes
• Navigating a multi-cultural, global team environment

ASSUMPTION: Challenges are inherent to content analyst roles due to the complexity and importance of data integrity.

📈 Similar Roles Comparison

• Compared to Data Analyst, focused more on content specific to research publications
• Less technical than a Data Scientist, but requires strong analytical skills
• Similar to Junior Research Analyst, with a focus on data curation and accuracy

ASSUMPTION: The role combines elements of data handling with specialized focus on academic content, which may appeal to those interested in research support.

📝 Sample Projects

• Curating data for new scientific publications
• Validating bibliographic records for a special research edition
• Data analysis for annual Web of Science updates

ASSUMPTION: Projects are likely varied but centered around enhancing and maintaining the Web of Science’s data quality.

❓ Key Questions to Ask During Interview

• What training is available to help develop content analysis skills?
• How is success measured in this role?
• What are the main challenges faced by the team currently?
• How does the role contribute to the larger goals of the Web of Science product?
• What opportunities are there for career advancement within the company?

ASSUMPTION: Questions should focus on understanding role expectations, team dynamics, and growth potential.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Prepare a resume highlighting relevant data curation experience
• Include a cover letter outlining your interest and fit for the role
• Follow up within two weeks post-application if there is no response
• Be prepared for a potential technical assessment focusing on data curation skills

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.