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  • Posted: Mar 14, 2023
    Deadline: Not specified
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    Evidence Action launched formally in 2013 to scale programs with sustainable business models that have been proven to be effective so that they benefit millions of people. Evidence Action leads and manages two programs incubated by Innovations for Poverty Action: Dispensers for Safe Water and the Deworm the World Initiative. We also run Evidence Action B...
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    Associate, Data Analysis

    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
    • 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.
    • 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
    • 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
    • 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.
    • 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

    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 a strong attention to detail, have real passion of working with data, be able to think and tell a story from the data (Key desirable)
    • 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
    • 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

    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
    • Strong interpersonal, communications and analytical 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

    go to method of application ยป

    Associate, Program Data Management

    Description

    The Associate – Program Data Management is a member of the PDM sub-team and the larger Monitoring, Learning and Information Systems (MLIS) team, and is responsible for quality data management for both paper and electronic data across all the countries of operations. This is an exciting position that will involve managing data officer(s) and data entry clerks, cleaning and submitting data to program teams or analysis team for analysis. The person must be systematic and loves working with big data and attentive to details. S/he will work closely with other MLIS team to ensure data is entered as error free as possible while adhering to set timeline

    Duties and responsibilities

    Data Cleaning

    • Support data cleaning needs across all Evidence Action programs within the countries of operation
    • Generate, clean and provide ad hoc datasets as may be required by different programs
    • Able to multi task data cleaning assignments for different programs.
    • Document all data cleaning processes and steps in the courses of his or her work
    • Develop programs/code that check completeness and clean all program data
    • Give timely feedback to the data collection team on quality of data and area of improvement/training
    • Keep track of any recurring data quality issues arising from the exercising with a viewing of informing when re-training is needed.
    • Support the development of comprehensive training manuals to suit the needs of different programs
    • Any other Data Management task as assigned by their supervisor
    • Coordinate the training of data entry staff.
    • Supervise the activities of the data entry casuals by coordinating with the data officer.

    Team Management

    Data Analysis

    • Conduct quarterly analysis on the quality of work of data collection officers and provide feedback to data collection lead highlighting area of further re-training.
    • Develop comprehensive data cleaning guide for all data collected within the organization
    • Verification and analysis of accuracy of geodata collected for all installed dispenser
    • Any other analysis to improve quality, completeness and accuracy of data that might be assigned by the Supervisor.

    Key performance Indicators

    • Delivery of clean and complete program quarterly monitoring data within the required time to the data analysis team.
    • Delivery of clean and complete process monitoring and coverage validation data within the required time to the data analysis team.
    • Timely delivery of complete/programmed surveys for use by the Field Monitoring Team.
    • Maintain documentation of data cleaning done in the course of data cleaning (either in syntax or notes)

    Requirements

    • Minimum Bachelor’s degree in economics, statistics, or any other relevant field
    • Minimum of 3 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, R, Python or MatLab 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 SurveyCTO, CSPro, ODK, KoBo and Access will be an added advantage (SurveyCTO and/or ODK 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.

    Method of Application

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