Full-Time Data Quality Specialist - WFH

Data Collection: Manually collect data from various sources (websites, databases, platforms). Conduct thorough research for high-quality data aligning with Fresh Futures' objectives.

Data Cleaning & Verification: Clean and preprocess data, ensuring no errors, inconsistencies, or duplicates. Verify data accuracy/completeness through double-checking and cross-referencing.

Data Maintenance: Regularly update datasets for currency and relevance. Monitor data 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 sources into databases.

Quality Assurance: Implement/adhere to data quality standards and best practices. Conduct regular audits/reviews to maintain accuracy/integrity.

Collaboration & Communication: Collaborate with data engineering/analytics teams to support their needs. Communicate data quality issues and provide improvement recommendations.

Continuous Improvement: Stay updated with data collection/cleaning methodologies. Propose/implement process improvements for enhanced quality/efficiency.

Education: Bachelor's degree in Data Science, IT, Statistics, Computer Science, Mathematics, or related field.

Experience: 1-3 years experience in data collection, cleaning, quality management, or similar roles, OR Fresh graduates with relevant academic projects/internships demonstrating data management proficiency.

Key Skills

• Technical Skills: Proficiency in data management tools (Excel, SQL). Familiarity with cleaning/preprocessing techniques. Basic understanding of visualization tools (plus).
• Research Skills: Efficient data searching, research, and sourcing. Detail-oriented, identifying data discrepancies/inconsistencies.
• Analytical Skills: Interpreting/analyzing data for quality/reliability. Strong problem-solving for data quality issues.
• Soft Skills: Excellent organizational/time management. Strong communication skills for team/stakeholder collaboration. Ability to work independently/manage multiple tasks. High accuracy/attention to detail.

Preferred Qualifications

• Experience in the EdTech industry.
• Knowledge of data governance/data privacy regulations (education sector).
• Experience with data scraping tools (without performing the scraping) – plus.
• Certifications in data management.

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