Data Manager at Elizabeth Glaser

Duties for the Data Manager Job

• Under the leadership of thePublic Health Evaluation (PHE) and Data Management Leads, oversee and coordinate data entry and management, including data quality control
• Participate in the design of the study database and guiding documents (i.e. data entry tools, data dictionary, user guidance and job aids). ) Work with Principal Investigator (PI), under the guidance of the PHE Lead, to develop and implement the e data analysis plan
• Develop and execute procedures for the abstraction and merging of data records from source databases into a study database
• Contribute to the design of protocols, which includes the methodology, analysis, quality control and reporting sections for both quantitative and qualitative data.
• Responsible for the writing, training, and oversight of the data management Standard Operating Procedures (SOPs), job aids, guidance etc.
• Document data management-related changes
• Maintain manual logs of data queries generated and their resolution
• Liaise with study coordinator to follow-up data errors, discrepancies, and missing information for ongoing data cleaning
• Maintain a log of data collection forms flow between Data Center (DC) and the study sites
• Maintain the integrity, security and data backup of the study database
• Perform ongoing data quality checks
• Responsible for data validation through reconciliation process
• Perform preliminary quantitative analysis on research datasets.

Data Manager Job Qualifications

• Degree in information technology, health information management, statistics, epidemiology or any relevant scientific discipline or an equivalent combination of relevant experience and education/training.
• Minimum three years’ experience as a data manager for research.
• Experience in a health-related research and program evaluation desirable

Knowledge, Skills and Abilities

• Knowledge of database languages, such as SQL is essential
• Knowledge of statistical packages, e.g. STATA, SPSS and basic statistical analyses preferable
• Good understanding of data processing/management
• Excellent database computing skills, including a high level of competency in the use of Microsoft Access (including the creation of databases, queries, forms etc.), Excel and Word
• Excellent organizational skills; attention to detail and a focus on quality and innovation
• The ability to prioritize work, exercise initiative and work with minimal direction
• The ability to work independently and collaboratively with colleagues
• Results oriented with a demonstrated ability to work effectively as a team member
• Strong communication skills, both oral and written, are required
• Ability to travel to the field regularly
• Fluent in both English and Kiswahili