ML / Data Analyst

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

Required From the posting source checked Jun 20, 2026

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

ML / Data Analyst Sofia, 23, Bulgaria Company Description: NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the twoindustry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. Job Description: Within the Operations team, ML / Data Analyst is responsible for the quality and enhancement of the data that we deliver to external clients. The role ensures that client data is distributed according to contractual agreements and quality standards, while also supporting internal teams and systems involved in the reporting process. Key Responsibilities: Data Quality & Operational Excellence Proactively monitor and investigate data quality issues, handling complex cases independently. Implement and validate data enhancements, fixes using SQL, Regex, and internal tools. Take ownership of the weekly quality check processes, ensuring data deliveries are consistently accurate and on time. Data Processing & Analysis Perform ML model retraining, monitoring and analyzing performances, and bring enhancements. Investigate and resolve complex or ambiguous data classification and branding issues. Efficiency in handling daily, high-volume operational tasks. Collaboration & Communication Actively work with your team member by sharing information, support each other and build a cohesive team environment. Proactively update your manager in Paris on task status, potential risks, or blockers before they become major issues. Serve as a reliable and solutions-oriented contact point for internal

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