• Application Deadline:
• Position: Data Quality Assistant



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 3 years



• Location Oyo




• Job Field Data, Business Analysis and AI 
  
  

Job Summary 

• The Data Quality Assistant will perform all routine tasks related to data accuracy, validation, and consistency to ensure that datasets meet established quality standards.


• He/she will be responsible for reviewing, cleaning, and maintaining datasets, identifying and resolving data errors, and supporting teams with accurate and reliable data for reporting and analysis.


• The role requires attention to detail, strong analytical thinking, and the ability to work independently with minimal supervision in a remote environment.

Responsibilities

• Reviews, validates, and cleans datasets to ensure accuracy, completeness, and consistency.


• Monitors and enforces data quality standards across various data sources.


• Identifies and resolves data anomalies, duplicates, and inconsistencies.


• Supports the development of data dictionaries and documentation of data sources.


• Collaborates with analysts and developers to ensure datasets are optimized for reporting and dashboard creation.


• Conducts regular audits of organizational data to detect and correct errors.


• Assists in the implementation of data quality improvement initiatives.


• Prepares summary reports on data quality trends and issues.


• Supports end-users with data extraction and preparation for analysis.


• Ensures compliance with data governance and privacy policies.

Qualification and Skills

• A Degree in Information Technology, Computer Science, Statistics, Economics, or related fields is required.


• At least three (3) years of experience in data quality, data analysis, or data management.


• Proficiency in data cleaning tools and methods, including Excel, SQL, and Power Query.


• Experience with data visualization tools (such as Power BI or Tableau) is an added advantage.


• Strong understanding of data governance and data quality frameworks.


• High attention to detail and accuracy.


• Strong analytical, problem-solving, and critical-thinking skills.


• Excellent written and verbal communication skills.


• Ability to work independently and manage multiple priorities effectively.


• Resourceful, organized, and self-motivated with a strong commitment to quality.