Associate, Program Data Management at Evidence Action

Responsibilities for the Program Data Management Associate Job

• Lead the development of interfaces for data entry and manage data entry vendors and process, and make sure the process is done as per the agreed upon timelines,
• Coordinate data entry process of all paper data in accordance with data entry protocols
• Work closely with the data collection team and data officer to ensure that hard-copies are filed and stored safely in a secure, well-organized, and well-documented repository, and the scanned paper data, where applicable, is stored safely
• Conduct discrepancy checks between data entry records, perform error checks and other data quality checks on the entered data
• Develop and implement a robust system of tracking forms for data entry so as to clearly distinguish those that have been entered against those that haven’t been entered.
• Handle and take responsibility of all equipment used for data entry, including laptops, tablets, flash drives etc.

Program Data Management Associate Job Qualifications

• Minimum Bachelor’s degree in economics, statistics, or any other relevant field
• Minimum of 2 years of experience in quantitative research methods and data management, preferably with large and/or complex datasets.
• At least 1 year full time experience conducting data cleaning using Stata for large datasets (mandatory)
• Experience in working with and programming data entry interfaces using a variety of applications both purchased and open source.
• Knowledge of CSPro, Epidata, Blaise, Openclinica and Access will be an added advantage (CSpro and/or Epidata highly preferred)
• Well conversant with the use of MS Office application especially Excel.
• Ability to work under pressure in a working environment that changes suddenly to accommodate new data needs
• Strong interpersonal and communications skills to work effectively with a team that is geographically dispersed.
• Self-directed/self-motivating personality, with proven ability to manage demands from multiple supervisors while adhering to program deadlines and priorities.
• Strong critical and analytical thinking skills.
• High attention to details and well organized.
• Should have real passion of working with data, be able to think and tell a story from the data (Key desirable)
• Intellectual flexibility and willingness to form and adjust opinions based on evidence
• Quick to learn, motivated to self-teach and capable of independently translating new knowledge into practice.