ML / Data Analyst

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.
• 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.

Benefits

Additional Information

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.

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Company Intel

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