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)