Research Associate

Requirements

• Experience: Minimum of 3 years of experience in a research setting, with significant experience in data collection and analysis.

• Technical Skills: Proficiency in Stata, R and Python for data analysis and management. Survey CTO/ODK proficiency required.

• Research Skills: Strong understanding of research methodologies, data quality control, and ethical standards in research.

• Communication: Excellent written and verbal communication skills, with the ability to present complex data and findings clearly.

• Organizational Skills: Exceptional organizational skills and attention to detail, with the ability to manage multiple tasks and projects simultaneously.

• Teamwork: Ability to work effectively both independently and as part of a team.

Context: ARCED Foundation is a nonprofit organization that aims to provide quality tools and services on research, training, monitoring and result management support through comprehensive consulting and research services at home and abroad. Since 2013, ARCED has been utilizing its state-of-the-art tools and approaches in collecting and applying better data, consecutively impacting better decision-making. Learn more about ARCED Foundation at

Why Working With ARCED Is Fun?

At ARCED we focus and thrive on the quality of the work we do and believe everything and everyone else will join. Our work constantly keeps us on our toes and motivates us to connect with young professionals/ talents, exposing them to work in a like-minded environment with relentless competition and challenges. We facilitate regular learning sessions through workshops, which we call "Baithhak" where you get to learn from each other in the hope of building better and more skilful resources. At ARCED, you can make money with smart and impactful work, and you can be taken seriously without wearing a tie — who wouldn't want to work in a casual environment where you can make a difference?

Research Associate: The Research Associate will play a critical role in overseeing data collection and ensuring the quality and integrity of research data. The ideal candidate will have substantial experience in data management, proficiency in statistical software such as Stata and Python, and a strong understanding of research methodologies. This position involves significant fieldwork and coordination with various teams to achieve research objectives.

Key Responsibilities:

Data Collection Oversight:

• Manage and supervise fieldwork activities to ensure adherence to research protocols and timelines.

• Coordinate and oversee data collection teams, including enumerators, field supervisors, and data entry personnel.

Quality Monitoring:

• Implement quality assurance measures to maintain the accuracy and integrity of collected data.

• Conduct regular audits and data cleaning processes to ensure high data quality standards.

Training and Development:

• Assist in the recruitment and maintenance of a proficient pool of enumerators.

• Conduct training sessions for enumerators, field supervisors, and other field staff.

• Develop training materials and resources to support field teams.

Coordination and Liaison:

• Liaise with field teams, including supervisors, data entry teams, porters, and qualitative enumerators.

• Engage with stakeholders, including Research Assistants (RAs), to ensure effective communication and collaboration.

Data Analysis:

• Perform data analysis using Stata and Python, interpret results and generate comprehensive reports.

• Develop and maintain databases, ensuring data is securely stored and easily accessible for analysis.

Fieldwork Management:

• Travel to field areas to observe and oversee data collection activities, ensuring compliance with research protocols.

• Prepare field plans, movement plans, and other survey-related plans.

Reporting and Documentation:

• Prepare survey progress reports and field challenge reports for each survey project.

• Preserve hardcopy survey documents and audio files securely, maintaining the confidentiality of research materials.

Problem Solving and Response:

• Develop and implement emergency response plans for unforeseen challenges during fieldwork.

• Address and resolve any issues that arise during data collection promptly and effectively.