Description

Within the Operations team, Data / ML 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 departments, handling operational issues through to resolution.
• Contribute to operational process improvements.

Compliance & Best Practices

• Follow and adhere to all global processes and team best practices.
• Maintain strict confidentiality of client and internal data.
• Meet internal standards and productivity targets.

General & Administrative Duties

• Participate in company-organized training sessions.
• Report system issues that may impact workflow.
• Support team, department, and organizational tasks as needed.

Qualifications

Education

• B.S. / M.S. in business analytics, data science, statistics or a related field, or equivalent practical experience.

Technical Skills

• 2-3+ years of professional experience in a data operations, data quality, or business analyst role.
• Strong proficiency in SQL for data extraction, manipulation, and analysis.
• Practical experience writing and maintaining Regex.
• A clear understanding of data pipelines and how data quality impacts ML models.
• Strong written and spoken English (C1 level is essential).

Key Competencies:
Analytical & Technical

• Strong attention to detail and a passion for data accuracy,
• while applying pragmatic judgment to balance effort and value.
• Strong analytical skills with a talent for investigating the root cause of data issues.
• Proven logical thinking and problem-solving abilities.

Communication & Collaboration

• Strong interpersonal and communication skills.
• Proven ability to build productive working relationships.
• Ability to provide clear, proactive updates and articulate complex issues simply.

Integrity & Accountability

• Maintains confidentiality and acts with integrity.
• High level of personal responsibility and ownership of assigned processes.
• Productivity & Initiative
• Finds motivation in making routine processes more efficient.
• Proactive and self-motivated, with strong persistence and follow-through.
• Works effectively under deadlines and manages competing priorities.

Additional Info

Benefits:

• Food vouchers € 62. 
• Additional Medical Insurance, incl Prophylactics, Outpatient care, Inpatient care, еxpenses for medications and medical products. 
• Life Insurance. 
• Multisport card (self-funded by the employee).  
• A Hybrid model of working: 3 days of the week you work from home (home office), 2 days from the office. 
• Additional paid leave of 3 days in case of no overdue leave days from previous year. 
• Free access to LinkedIn Learning platform. 

In addition:

• Flexible working hours and home office.
• Eco friendly travelers are welcome to the office – parking places for bikers.
• Sofia office is located close to the city centre and easily accessible from any point by public transportation.

#LI-SG1

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

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 two industry 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™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion