Product Operations Analyst, Data Platform

TikTok Inc.

San Jose (CA)

On-site

USD 50,000 - 85,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) with company match
Paid time off

Job summary

TikTok Inc. in San Jose, CA is seeking a Product Operations professional within the Data Platform organization. You will collaborate with product, engineering, and business teams to drive product adoption, improve user experience, and shape the evolution of one of the world’s largest data platforms.

Your work spans from understanding user needs to scaling best practices and go-to-market efforts. The role includes training users on data analytics products, handling on-call support for critical

Qualifications

  • Bachelor's degree or above; product operation experience preferred.
  • Excellent product perspective, business perspective, and user perspective.
  • Strong sense of cooperation with cross-team and cross-country interfaces.
  • Strong initiative, able to fill in for the team.

Responsibilities

  • Operate data building and analytic products and agents within the Data Platform.
  • Provide training on data analytics products, create materials, and assist users in understanding and utilizing products.
  • Be responsible for on-call service and address critical issues promptly.
  • Liaise with local/global teams, consolidate feedback, and collaborate to develop effective solutions.

Skills

Cross-team cooperation
User perspective
Product/business perspective
Proactive/initiative

Education

Bachelor's degree or higher

Job description

TikTok Inc. in San Jose, CA is seeking a Product Operations professional within the Data Platform organization. You will collaborate with product, engineering, and business teams to drive product adoption, improve user experience, and shape the evolution of one of the world’s largest data platforms.

Your work spans from understanding user needs to scaling best practices and go-to-market efforts. The role includes training users on data analytics products, handling on-call support for critical

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