Data Operations Expert

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Operations Expert Shanghai, SH, China Company Description: Job Description: About the Role We are looking for a detail-oriented and execution-focused Output Expert to join our Data Operations team. In this role, you will be responsible for executing data production cycles and delivering high-quality outputs to clients, ensuring accuracy, timeliness, and compliance with operational standards. You will play a critical role at the final stage of the data pipeline, transforming processed data into client-ready deliverables. Key Responsibilities Execute end-to-end data production cycles and generate client deliverables Ensure all outputs are delivered accurately and within agreed timelines (SLA-driven) Perform validation checks to ensure accuracy, completeness, and consistency of outputs Investigate and resolve data discrepancies or production issues Follow standardized workflows for production, validation, and release Collaborate with Data, Technology, and Operations teams to resolve issues Support business-as-usual (BAU) requests and ad hoc client delivery needs Identify opportunities to improve efficiency and support process automation Qualifications: Bachelor's degree in Data, Statistics, Computer Science, Business, or a related field 3-5 years of experience in data operations, reporting, or production environments Strong attention to detail and data accuracy Analytical thinking and problem-solving skills Ability to manage multiple priorities and meet tight deadlines Good communication and teamwork skills Familiarity with data tools or databases is a plus Additional Information: Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication

Read the full description at jobs.smartrecruiters.com. FewerJobs shows a preview and links to the original posting.