Data Outliers Specialist ($700 - $1,000)

Data Outliers Specialist ($700 - $1,000)

Loubby AI Rest of Nigeria (Nationwide) Confidential

• Minimum Qualification :

Job Description/Requirements

Job Title: Data Outliers Specialist

Location: Remote

Salary Range: $700 - $1,000 per month (based on experience and skills).

Experience: Minimum 2-3 years

Role Overview

As a Data Outliers Specialist, you will be responsible for detecting, analyzing, and handling anomalies in datasets to improve data quality. You will work closely with data analysts and engineers to refine data validation processes and ensure clean, reliable data for business and AI applications.

Key Responsibilities

• Identify, analyze, and document data outliers and anomalies across large datasets.
• Develop and apply rules, thresholds, and statistical methods to detect irregularities.
• Work closely with data teams to determine root causes of outliers and recommend corrective actions.
• Maintain data integrity by implementing quality checks and validation processes.
• Assist in developing automated tools and workflows for anomaly detection.
• Provide reports and insights on data irregularities and their impact on business decisions.
Ensure compliance with data quality standards and best practices.

Requirements

• Minimum 2-3 years of experience in data analysis, anomaly detection, or a related field.
• Strong analytical and problem-solving skills with attention to detail.
• Experience with data processing tools such as Excel, SQL, Python, or R.
• Familiarity with statistical methods and machine learning techniques for outlier detection.
• Ability to work with structured and unstructured datasets.
Good communication skills to collaborate with cross-functional teams.

Preferred Qualifications

• Experience in AI/ML-based anomaly detection techniques.
• Understanding of data governance and quality assurance best practices.
Familiarity with visualization tools like Tableau, Power BI, or similar.

Benefits

• Competitive salary of $700 - $1,000 per month.
• Opportunity to work with cutting-edge data analytics and AI technologies.
Career growth and learning opportunities in data science and quality management.

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