Data Quality Specialist - WFH/ Remote Work (Fresh grads can Apply)

SEEKA is a project under Fresh Futures (the parent organization) which seeks to revolutionize the education ecosystem by providing a unified platform that seamlessly integrates diverse educational services. Our AI-driven solution creates personalised career pathways, making users career-ready and serving as a central hub connecting students, parents, educators, and job search agencies with schools, businesses, extracurricular programmes, tutors, driving schools, and mental health support. At Fresh Futures, we are committed to empowering every individual with equal opportunities in education, career, and life, ensuring that every step of their journey is perfectly aligned with their aspirations.

We are looking to hire a meticulous and proactive Data Quality Specialist to join our dynamic team in Pakistan. The ideal candidate will be responsible for collecting, cleaning, verifying, and maintaining data to ensure its accuracy and reliability. This role is crucial in supporting Fresh Futures’ mission by providing high-quality data that drives informed decision-making and enhances our platform’s effectiveness in guiding individuals through their educational and professional journeys. Fresh graduates with a strong foundation in data management are encouraged to apply.

Data Collection:

• Manually collect data from various sources, including websites, databases, and other relevant platforms.
• Conduct thorough research to identify and source high-quality data that aligns with Fresh Futures’ objectives.

Data Cleaning & Verification:

• Clean and preprocess data to ensure it is free from errors, inconsistencies, and duplicates.
• Verify the accuracy and completeness of data through double-checking and cross-referencing with reliable sources.

Data Maintenance:

• Regularly update existing datasets to ensure they remain current and relevant.
• Monitor data sources for any changes or updates that may affect data quality.

Data Enhancement:

• Identify opportunities to enhance data quality by finding additional relevant data points.
• Collaborate with other teams to integrate new data sources seamlessly into existing databases.

Quality Assurance:

• Implement and adhere to data quality standards and best practices.
• Conduct regular audits and reviews of data to maintain high levels of accuracy and integrity.

Collaboration & Communication:

• Work closely with data engineering and analytics teams to support their data needs.
• Communicate data quality issues and provide recommendations for improvement to relevant stakeholders.

Continuous Improvement:

• Stay updated with the latest data collection and cleaning methodologies.
• Propose and implement process improvements to enhance data quality and operational efficiency.

Education:

• Bachelor’s degree in Data Science, Information Technology, Statistics, Computer Science, Mathematics, or a related field.

Experience:

• 1 to 3 years of experience in data collection, data cleaning, data quality management, or a similar role OR
• Fresh graduates with relevant academic projects or internships demonstrating proficiency in data management tasks.

Key Skills

Technical Skills:

• Proficiency in data management tools and software (e.g., Excel, SQL).
• Familiarity with data cleaning and preprocessing techniques.
• Basic understanding of data visualisation tools is a plus.

Research Skills:

• Strong ability to search, research, and source relevant data efficiently.
• Detail-oriented with a keen eye for identifying data discrepancies and inconsistencies.

Analytical Skills:

• Ability to interpret and analyse data to ensure its quality and reliability.
• Strong problem-solving skills to address and resolve data quality issues.

Soft Skills:

• Excellent organisational and time-management abilities.
• Strong communication skills to collaborate effectively with team members and stakeholders.
• Ability to work independently and manage multiple tasks simultaneously.
• High level of accuracy and attention to detail.

Preferred Qualifications

• Experience working in the education technology (EdTech) industry.
• Knowledge of data governance and data privacy regulations relevant to the education sector.
• Experience with data scraping tools (without performing the scraping) is a plus.
• Certifications in data management or related fields.