Scope of Work
The Data Analyst (s) will work with the Western Kenya Sanitation Project (WKSP) Research & Development team to support in data collection, analysis reporting and visualization of the project data.
Responsibilities
The Data Analyst (s) should aim to achieve the following.
Data Collection: Support data collection quality checks for the Complicated plastics: addressing taboo waste streams to promote user dignity and sustainable waste management study while ensuring data accuracy, completeness, and reliability.
Data Cleaning and Preprocessing: Clean and organize raw data to address any inconsistencies or errors and converting data into a format suitable for analysis.
Data Analysis: Perform statistical analyses and create descriptive and inferential reports for the data analyzed.
Data Interpretation and Reporting: Summarize the findings in a clear and concise manner and provide interpretations of the results while identifying trends, patterns, and correlations in the data.
Data Visualization: Translate the data into a visual context using maps, graphs etc.
Any other deliverable as shared by the Research and Development Team.
Deliverables
Develop an analyzer guide for the Complicated plastics: addressing taboo waste streams to promote user dignity and sustainable waste management.
Submit cleaned and complete study databases.
Analysed data – descriptive and data triangulation for use in the study.
Summarized findings with visualizations from the Sanitation and MHM database.
Summarized report with key findings and visualization for the MHM baseline report.
Estimated Level of Effort
30 days
Period of Performance
February 2024
Qualifications
Bachelor’s degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Economics).
Excellent knowledge of Microsoft Office tools (MS Office Word, Excel etc.).
Familiarity with M&E activities and processes.
Prior experience with mobile data collection platforms e.g., Kobo Collect, ODK, mWater etc.
Good understanding of data analytics tools (e.g., SPSS, Stata, Python, R, SQL).
Experience with data visualization tools (e.g., Tableau, Power BI).
Solid understanding of statistical concepts and methodologies.
Excellent communication and presentation skills.
Attention to detail and problem-solving skills.
Ability to work independently and collaboratively in a team environment.
Please submit your updated English CV (including contact information)
go to method of application »
Use the link(s) below to apply on company website.
Apply via :
