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TLDR

Maintain high-quality data content, troubleshoot data quality and ingestion issues, and produce data dictionaries, API documentation, and release notes.

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.

Benefits

Remote-Friendly

This is a hybrid position, working 2-3 days a week in one of our Clarivate offices.

Clarivate is a global leader in analytics and insights, specializing in the life sciences and healthcare sectors. We provide innovative data-driven solutions that empower our customers to enhance treatments and improve patient outcomes, all while fostering a collaborative environment for our diverse engineering teams.

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