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.
Applications to be sent to hr@researchplusafrica.com by 16th February 2024
Apply via :
hr@researchplusafrica.com
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