Data Analyst at Research PLUS Africa

JOB ROLE

The Data Analyst works under the oversight of the Data Scientist. The role provides technical support on matters of data analysis to the client service team and clients.

SPECIFIC DUTIES AND RESPONSIBILITIES

•  Lead on execution of day-to-day requests for data analysis and/or data manipulation to support client service team as per clients’ requests.
•  Performing analysis to assess the quality of collected data and recognizing anomalies or errors in data.
•  Review, analyze, and distill data to find stories to support the business needs of clients.
•  Lead in reformatting and/or redesigning data sets for downstream analysis as required.
•  Ensure data sets have been checked for logical consistency prior to analysis.
•  Restructures data into correct format for analysis purposes using Excel, Stata, or SPSS (weighting and processing as relevant)
•  Work closely with the data team to support analysis according to client’s requirements or objectives.
•  Script questionnaires from client service into recommended software including Survey to Go, ODK, Kobo and others.
•  Lead in preparation and testing survey logic of scripted questionnaires and ensure that it is error-free.
•  Implementing the electronic questionnaire (script) according to customer specifications and R+ procedures
•  Share input in the finalization of Data Processing Specifications provided by client service teams and update it whenever questionnaire changes are affected.
•  Work alongside the client service research team in delivering bespoke and added-value analysis and insight by providing statistical interpretations to the key learnings and recommendations.
•  Prepare, plan, prioritize, and communicate effectively to ensure data deliverables are prepared and sent on schedule.
•  Collaborating with other departments or teams, understanding their needs, and providing them with relevant data insights.
•  Recognizing the ethical implications of data usage, storage, and analysis, especially in terms of privacy and security.

EDUCATION AND EXPERIENCE

•  Bachelor’s degree (or equivalent) in mathematics, computer science, economics, statistics
•  Minimum 5 years experience with analytical techniques such as, Correlation analysis, Driver analysis, Turf analysis, Regression analysis, Data Mining/Data running, Python / R
•  Knowledge/experience with creating dashboards and reports that communicate insights to stakeholders. This includes using tools like Tableau, Power BI, and Microsoft Word to create interactive dashboards and reports.
•  Minimum 2 years experience in programming (Working within a Research Agency will be an advantage)
•  Excellent communication and presentation skills
•  The ability for critical thinking
•  Creativity
•  Having a systematic and logical approach to problem-solving
•  Team working skills.