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Data Analyst job at World Bicycle Relief | Apply Now
Are you looking for social science jobs in Uganda 2025 today? then you might be interested in Data Analyst job at World Bicycle Relief
About the Organisation
World Bicycle Relief is an international, non-profit organization based in Chicago, IL that specializes in large-scale, comprehensive bicycle distribution programs to aid poverty relief in developing countries around the world. Their programs focus primarily on education, economic development, and health care
Kampala, Uganda
Full Time
Job Title
Data Analyst job at World Bicycle Relief
World Bicycle Relief
Job Description
Job Title: Data Analyst
Organisation: World Bicycle Relief
Duty Station: Kampala, Uganda
Job Summary:
WBR seeks a Data Analyst to support the SII team with the management and analysis of data related to research, monitoring, and evaluation of WBR and Buffalo programs and partner programs. They will work closely with the Research and Evaluation Manager and Monitoring and Database Manager to clean, process, and analyze the data undertaken by WBR and partners. The Data Analyst will also work with M&E Managers to prepare data to inform reporting, storytelling, communications, marketing, program quality improvement and the learning agenda.
Duties, Roles and Responsibilities
Research and Analysis Support:
Conducts analysis of data, including from household surveys (cross-sectional and panel), market surveys, and administrative datasets.
Supports analysis of complex datasets to identify trends, patterns, and insights that support decision-making.
Provides remote support to Monitoring and Evaluation Managers during data collection activities, including undertaking data quality checks and ensuring proper entry of data in MDC platforms and communication with enumerators, as required.
Collaborates with M&E Managers, the Global Research Manager, and Social Enterprise teams to understand data needs and provide analytical support.
Cleans and validates data from multiple sources to ensure data quality and accuracy.
Collates, structures, and enables integration of multiple different types of data sets for analysis
Conducts analytics for reports and internal needs.
Conducts secondary research, including reviews of academic and non-academic literature, on topics relevant to program and research design.
Capacity Building and Data Management
Provides training and technical support to M&E Managers and M&E Officers on data analysis, management, and data interpretation.
Assists M&E Managers with preparing clear and concise reports to communicate findings to various stakeholders.
Provides support in data quality assurance and validation processes, including regular data audits, consistency checks, and accuracy verification to ensure the integrity and reliability of Monitoring data in Salesforce
Assists with maintaining and updating data and report files.
Together with M&E Managers, ensures the safekeeping and privacy of all data collected and managed by the SII team.
Maintains data privacy standards and protocols
Research Dissemination:
Coordinates with the SII team on data dissemination including: report writing, data inputs into dashboards, generate PowerPoints or visualizations.
Together with broader SII team, assists with responding to Marketing, Communication, Program, and Partnership requests for data inputs.
Qualifications, Education and Competencies
Bachelor’s degree in Economics, Statistics, Development Studies, Social Sciences, or related degree. Master’s degree preferred.
3-5 years demonstrated experience with advanced data analysis (e.g., correlations, regressions).
Demonstrated full toolkit of data management and analytics (e.g., cleaning, structuring, validating, statistical analyses, advanced analytics)
Ability to work with complex data sets and understand how to transform and combine disparate data to enable effective analytics, including household survey data.
Experience collecting, managing, and/or analyzing data collected from national health and education systems (DHIS2, eMIS)
Strong comfort with, and experience in, retrieving, structuring, analyzing, and visualizing data across most well-establish data analytics platforms (e.g., Tableau, PowerBI, R, Advanced Excel)
Experience monitoring and maintaining data quality utilizing best practices
Ability to translate data insights and outputs into appropriate, consumable formats (e.g., PowerPoint, Word, e-mails, SharePoint, Prezi)
Experience with the use of data collection platforms, such as SurveyCTO, Kobotoolbox, and ODK.
Demonstrated experience with research on development themes, e.g., health, education, poverty, inequality, unemployment, and wellbeing.
Demonstrated experience with use of Stata for statistical analysis.
Demonstrated experience with drafting research reports.
Experience working in a non-governmental organisation setting.
Desirable
Experience collecting and analysing qualitative data.
Experience with research on mobility and transportation modes, rural livelihoods, education, health, and socio-economic conditions.
Experience with fieldwork and primary data collection.
Travel: 15% Travel within operating countries or their own country.
How to Apply
All suitably qualified and interested candidates should send their updated CVs online at the APPLY Button below