Senior Data Operations Analyst

Benefits

Parental leave

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Non-birth-parent leave

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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

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

Matched to SOC 11-1021 - Operations aggregate by role bucket.

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

Role

Role function

Operations From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

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

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Operations Analyst Shanghai, SH, China Company Description: Job Description: Primary Responsibility Be responsible for areas including but not limited to sample selection, data quality control, data validation/simulation and client enquiries in FMCG industry based on data analytical skill and fundamental statistical knowledge. Implement the projects/tasks on schedule with highly quality Serves as expertise for operation function, ensure goals assigned are met. Cooperate with cross team peers under Operation, Data Science and Tech team, identifies the key risks or potential issues for the projects. Serves as the initiator to solve the issues, prepare the backup plan and monitor it to ensure on time delivery Qualifications: Qualification Bachelor/Master degree in statistics, mathematics, computer science, social science, market research, operation, science, engineering is preferred. 1 years market analytical/modeling/operation experience Hard Skill and knowledge Good understanding with a programming language like SQL, Python, R, VBA or SAS and/ or experience in one or more areas in market database setup, data extraction, data cleaning and validation Familiar with MS office (Excel, PPT) Language - Fluent written and spoken English. Good understanding in FMCG market Good judgment based on market facts and translating statistical concept into data application Soft Skill Multi task Management and anti-pressure ability Strong Analytic skill based on data support and clear logic Communication - clarify needs, excellent written and verbal communication skills, to present clear messages from complex information/data to all peers internally and externally. Continuous improvement mindset and proactive attitude Leadership - a clear understanding and commitment to Nielsen

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