Associate, Data Analysis at Evidence Action

Evidence Action's mission is to fill the gap between what is effective in global health and development and what is implemented at scale. One of our flagship programs is the Deworm the World Initiative, which envisions a world where all at-risk children have improved health, increased access to education and better livelihoods potential as a result of being free of intestinal worms.

We are recruiting to fill the position below:

Job Title: Associate, Data Analysis

Location:  Abuja
Employment Type: Full-time
Department: Monitoring, Learning, and Evaluation

Description

• The Associate, Data Analysis will analyze and extract actionable recommendations from information collected from all of Evidence Action’s programs.
• The role will require review and analysis of various survey data, and systematic documentation of the analytical efforts used to reach the evidence-based recommendations.
• S/he will contribute to the development of appropriate measurement, sampling, and survey strategies and the design of survey instruments to gather quantitative and qualitative data.
• This position will be a critical piece of the Data Analysis team that operates within Evidence Action’s broader Monitoring, Learning, and Evaluation (MLE) team.

Duties and Responsibilities
Monitoring and Evaluation Support:

• The Associate, Analysis will provide support and guidance to Evidence Action’s monitoring systems:
• Contribute to the design of the program monitoring processes to ensure appropriate measurements, sampling, and survey strategies
• Support the design and testing of survey instruments and other research tools that will enable clear and meaningful analysis
• Support in the development of key program indicators for measuring of program components and of assessing program outputs and outcomes
• Maintain a service oriented, client-based approach in considering the core research questions held by Evidence Action program teams that will facilitate operational and cost-efficiency improvements.

Analysis:

• The Associate, Analysis will coordinate analysis activities of administrative and monitoring data for program teams.
• Cleaning and analyzing administrative and monitoring data of programs to inform programmatic decision-making
• Identify, analyze and interpret patterns and trends in data to help in diagnosis and prediction
• Provide key analytical and knowledge inputs from program data for articles, policy briefs, memos and major proposals
• Develop and update data analysis protocols and systems
• Conduct geospatial analysis of program data to discover the expected and unexpected trends
• Identify research questions, write technical/research papers and disseminate results to program teams
• Conduct data quality checks at each stage of program monitoring: highlight recurring data quality issues with the program team and provide recommendations for course correction when necessary
• Produce data reports and lists to support day to day implementation of the program
• Identify and produce well-designed statistical measurements to express results of program data.
• Build and update dashboards and info-graphics to visualize results of program data
• Extract meaning, in-depth analysis of program data to provides insightful interpretations of data.
• Support data requests from the program team(s), as needed

Data Management:

• The Associate, Data Analysis will play a prominent role in developing and implementing strong data management systems for program teams
• Document all data management procedures and lessons learned to increase the quality and reliability of data collection for future years and for other geographies
• Responsible for maintaining and organizing all data files on identified platforms (like Box etc.) as per agreed protocols
• Support in the development and documentation of data management protocols and tools
• Ensure adherence to data management and analysis protocols in all data collection and analysis activities
• Maintain proper documentation of all analysis files for ease of replication and explain methodology used in analysis.

Requirements

• Bachelor’s or Master’s Degree in Economics, Statistics or another quantitative field.
• A minimum of 3+ years of experience in quantitative data analysis
• Ability to work under pressure in a working environment that changes suddenly to accommodate new data needs
• Should possess strong attention to detail, have real passion of working with data, be able to think and tell a story from the data (Key desirable)
• Self-directed/self-motivating personality, with proven ability to manage demands from multiple supervisors while adhering to program deadlines and priorities
• Strong problem-solving, analytical, research writing and presentation skills
• 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
• Willingness to travel
• A minimum of 3+ years of experience in an analytical and quantitative role
• Should have real passion of working with data, be able to think and tell a story from the data
• Strong working knowledge of quantitative statistical software packages such as Stata, R, etc. with the ability to learn and adapt to new programs (experience with Stata, R and excel highly preferred)
• Experience in working with mapping software such as GIS, ArcGIS, R, etc
• Experience in data visualization and reporting software such as R-shiny and Power BI
• Strong mathematical skills and proficiency in statistics to help identify patterns and trends and interpret data
• Strong interpersonal and communications skills to work effectively with a team that is geographically dispersed
• In addition, this position requires a candidate to:
• Have a strong commitment to evidence-based practice and policy in the development field
• Be enthusiastic to develop personally and professionally as part of a growing global team
• Extremely intellectually curious, service-oriented, and able to conduct, document, and explain complex work streams

Preferred Qualifications:

• Bachelor’s or Master’s Degree in Statistics field
• Strong working knowledge of Stata and R statistical software packages
• Strong mathematical skills and proficiency in statistics
• Self-directed/self-motivating personality, with proven ability to manage demands from multiple supervisors while adhering to program deadlines and priorities
• Strong interpersonal, communication and analytical skills to work effectively with a team that is geographically dispersed

 

How to Apply
Interested and qualified candidates should:
Click here to apply