Summary
Date Posted: Tuesday, October 03 2023, Base Salary: Not Disclosed

JOB DETAILS:

Job Description
The Junior Data Analyst works within the Analytics team under the PEAL department and is responsible for the management of the entire data lifecycle including collection, management, storage, analysis, reporting, innovations, and development as well as facilitating learning and exchange of information.

Also, he/she must ensure that the analysis findings generated are used to communicate RTV’s outcomes and impact to various internal and external stakeholders.

Roles and Responsibilities
• Analyze and interpret the patterns and trends in the program outcome datasets to aid informed decisionmaking.
• Lead data quality checks, control, and management for field data collection activities.
• Develop machine learning algorithms to improve program learning and tracking.
• Collaborate with the other PEAL team units to design appropriate data collection and aggregation tools, with plans to routinely update them for data quality improvement.
• Support in the development and update of data collection systems
• Develop and/or update data models, measurement metrics and new processes while ensuring that the creation process of the data model is properly documented.
• Collaborate with engineering and product development teams
• Support the reporting and storage of data - ensuring that relevant reports are accurately completed from the analyzed data points and stored in appropriate files and folders for further reference.
• Support the management of the organization’s Centralized M&E Database with automated workflows for real-time information, up-to-date visuals, and dashboards from across field sites.
• Build capacity for field staff - to achieve their data collection targets and present data and information in the best possible format for further analysis.
• Other essential duties as required by supervisors.

Qualifications & Experience
• Proven working experience as an Analyst for at least 2 years
• University degree in Statistics (statistical computing major) and Computer Science.
• Must have Statistical analysis experience using STATA, R/Python programming is an added advantage.
• Post-graduate qualification in Monitoring & Evaluation will be an added advantage.

Skills & Qualities
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of analysis findings with attention to detail and accuracy
• Ability to apply M&E process-based tools including result-based and participatory monitoring and evaluation, gender analysis frameworks, feasibility studies, data quality assurance, and reporting.
• Strong training & facilitation skills.
• Experience in participatory research within last-mile communities will be an advantage.
• Team player, with the ability to be self-driven.
• Flexibility to work effectively with changing priorities and competing deadlines.




Education Requirement: No Requirements

Job Experience: No Requirements

Work Hours: 8

Experience in Months:

Level of Education:

Job application procedure

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