About this role
This position is part of the incoPat content department and works with other teams in the content department to create value for customers by defining and maintaining high-quality data content. Specific responsibilities include:
About You – experience, education, skills, and accomplishments
- Bachelor's degree or above in Computer Science, Information Systems, or a related field
- 2+ years of experience in Data Operations or a related domain
- Excellent written and verbal communication skills in both Chinese and English, with the ability to effectively collaborate with domestic and international colleagues to drive projects forward
- Proficiency in SQL with the ability to independently perform foundational data analysis;
- Familiarity with common data formats such as XML, DTD, and JSON
- Proficiency in Microsoft Office suite and data visualization tools such as Power BI
- Strong problem-solving skills, meticulous attention to detail, and the ability to work both independently and as part of a team
- Effective communication skills with the ability to articulate complex technical concepts to non-technical stakeholders
It would be great if you also had . . .
- Knowledge of big data processing technologies and programming tools (e.g., Hadoop, Spark, Python)
- Understanding of intellectual property and patent-related business
- Ability to read documentation in languages other than Chinese and English
What will you be doing in this role ?
- Collaborate closely with product and engineering teams to ensure seamless data product delivery
- Proactively troubleshoot and resolve issues related to data quality, data integrity, and data ingestion
- Work closely with cross-functional teams, including Algorithm, Analytics, Product Management, and Technology, to identify and execute on product enhancement opportunities
- Develop and maintain technical documentation throughout the full lifecycle of data products, including data dictionaries and versioning
- Participate in data governance initiatives and produce public-facing documentation such as data dictionaries, API documentation, and release notes
- Stay abreast of emerging trends and technologies in data operations and provide actionable recommendations for product optimization based on customer feedback.
Hours of Work
Full Time, Permanent (Monday-Friday, core business hours)
This is a hybrid position, working 2-3 days a week in one of our Clarivate offices.
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.