Data Analyst at Research PLUS Africa

JOB ROLE

The Data Analyst works under the over-sight of the Data Scientist. The role provides technical support on matters 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 distil data to find stories to support 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 toanalysis.
•  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 finalization of Data Processing Specification provided by client service teams and update it whenever questionnaire changes are affected.
•  Work alongside 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
•  Ability for critical thinking
•  Creativity
•  Having a systematic and logical approach to problem-solving
•  Team working skills.