Full-Time Data Quality Specialist - Remote
Seeka Technology is hiring a remote Full-Time Data Quality Specialist - Remote. The career level for this job opening is Entry Level and is accepting Islamabad, Pakistan based applicants remotely. Read complete job description before applying.
Seeka Technology
Job Title
Posted
Career Level
Career Level
Locations Accepted
Share
Job Details
Data Collection: Manually collect data from various sources (websites, databases, etc.). Conduct thorough research to identify and source high-quality data aligned with Fresh Futures' objectives.
Data Cleaning & Verification: Clean and preprocess data to eliminate errors, inconsistencies, and duplicates. Verify accuracy and completeness through double-checking and cross-referencing.
Data Maintenance: Regularly update datasets to maintain currency and relevance. Monitor sources for changes affecting data quality.
Data Enhancement: Identify opportunities to enhance data quality by finding additional data points. Collaborate with teams to integrate new data sources.
Quality Assurance: Adhere to data quality standards and best practices. Conduct regular audits and reviews to maintain accuracy and integrity.
Collaboration & Communication: Collaborate with data engineering and analytics teams to support their needs. Communicate data quality issues and recommendations to stakeholders.
Continuous Improvement: Stay updated with data collection and cleaning methodologies. Propose and implement process improvements.
Education: Bachelor's degree in Data Science, IT, Statistics, Computer Science, Mathematics, or related field.
Experience: 1-3 years of experience in data collection, cleaning, or quality management, or fresh graduates with relevant academic projects/internships demonstrating proficiency.
Key Skills
Technical Skills: Proficiency in data management tools (e.g., Excel, SQL), data cleaning techniques, and basic data visualization tools.
Research Skills: Strong research and data sourcing abilities. Detail-oriented to identify discrepancies.
Analytical Skills: Data interpretation and analysis to ensure quality and reliability. Strong problem-solving skills.
Soft Skills: Excellent organizational and time-management skills. Strong communication skills. Ability to work independently and manage multiple tasks. High attention to detail.
Preferred Qualifications: Experience in the EdTech industry, knowledge of data governance and privacy regulations, familiarity with data scraping tools (without performing scraping).
Benefits: Competitive salary and performance-based bonuses, comprehensive health insurance, professional development opportunities, flexible working hours, supportive work environment.