NielsenIQ

Market Research

ML/DataAnalyst

$55–85k ~AI est. Sofia, Bulgaria FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“ML / Data Analyst at NielsenIQ. Skills: Data Science, Machine Learning, Business Intelligence, Data Engineering. Develop and implement data models. Build and maintain data pipelines”

Industry & Context.

Market Research
Problems you'll solve

Analytical skills

What They're Looking For.

Must Have

Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, 3+ years of experience in data analysis or data science, Proficiency in SQL, Experience with Python or R for data analysis

Nice to Have

Master's degree or PhD in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with MLOps practices

What You'll Do.

Develop and implement data models

Build and maintain data pipelines

Perform statistical analysis

Develop machine learning models

Create dashboards and reports

Collaborate with stakeholders

Ensure data quality and integrity

Stay updated on industry trends

How You'll Work.

Team & Collaboration

Cross-functional teams; Business stakeholders

Full Job 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™. 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 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 confidentia

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