Data Administrator – Outlet and Household Surveys at Malaria Consortium

Purpose of Assignment

• Data administrator will be responsible for database management, review of the backend submissions of the survey data collection, monitor the mobile Kobo Collect data submission for accuracy, errors and consistency across all data collection locations.
• Identify and rectify database problems quickly and efficiently.
• Streamline field data collection and data documentation processes through routine automated reporting, timestamp and geotagged form submission for easy verification of field activities.
• Data administrator will be responsible for data integrity, data validation and data security during the Outlet and Household data collection period.
• Maintain and modifies database, participates in data-mapping and conversion of data; extracts and presents data as requested.
• Provide support to field data enumerators and data supervisors on data collection.
• Review and update survey information on kobo collect database.
• Ensure compliance with research methodology in data collection.
• Ensure quality and effective data management processes.
• Work in coordination with the Research Specialist and the MC Information Technology team to ensure survey database accurately captures and addresses the research objectives for easy tracking and reporting to donor and national stakeholders.

Qualifications and Experience

• Candidates must have a Masters’ Degree in Statistics, Data Science, Computer Science or any data analytics related field with at least 5 years’ experience in database administration and management.
• Strong data management skills, proactive with ability to think fast and address issues.
• Excellent organizational and time management skills.
• Experience in data administration and quantitative report writing
• Knowledge of malaria data management
• Knowledge of data analysis especially quantitative data analysis and interpretation
• Professional certification in the GIS or related field is an added advantage.
• Advanced computer skills, including Microsoft Office Suite (Excel and MS Office), Microsoft SQL server and statistical packages.
• Good understanding and compliance with research ethics and data management.