Project Management Support – Analyst (Data Analytics) – INTERNAL POSITION

Functional Responsibilities

Summary of Key Functions

1. Data and reporting
2. User support
3. Monitoring, Evaluation, Accountability and Learning (MEAL)

1.Data and Reporting

• Support design and construct a database and visualization system
• Develop data entry format and reporting designs by reviewing the report from partners.
• Ensure accurate and consistent input of data received from partners.
• Maintain strict confidentiality for data.
• Handling the Big Query data warehouse for data visualization in Google Data Studio.

2. User Support

• Develop the report design using Google Data Studio as a program requirement.
• Develop the report design using Google Sheets as a program requirement.
• Provide staff training on how to use the Google Data Studio.

3. Monitoring, Evaluation, Accountability and Learning (MEAL)

• Checking the achievements (by respective thematic indicators) of received clean data sets of M&E data reports (inception, quarterly, SAR, and AR) from individual thematic Senior M&E officers.
• Verify with respective thematic Senior M&E officers (if necessary).
• Combine all received data by thematic indicators for policy, system, and household level.
• Distribute the combined data set to the central M&E team and individual thematic Senior M&E officer.
• Prepare achievement data tables for SAR and AR.
• Prepare achievement data sets as requested by LIFT FMO and Donors.
• Collect the project villages information of each project from individual thematic Senior M&E officers, maintain and update this information for households survey and other activities.
• Provide the training to IPs’M&E staff on M&E data report.
• Develop the user-friendly but comprehensive report design of LIFT FMO’s project information (including up-to-date achievement) using Google Data Studio.

Education/Experience/Language requirements

a. Education

• A first level university degree (e.g Bachelor) in data science, data analytics, statistics or other relevant field is required.
• An advanced university degree (e.g. Masters) in data science, data analytics, statistics or other relevant field, is desirable but not required, and may substitute for 2 years of work experience.

b. Work Experience

• A minimum of 2 years of experience in research, data analytics, programming or related area is required.
• Experience in the use of Microsoft Excel, including design of database structures and development of appropriate interfaces (e.g. Microsoft Excel) for data entry, ensuring data quality and security, update records and fields, modification of database structure, and generation of customized reports is desired.
• Experience in analyzing data and producing reports is necessary.
• Excellent computer skills including Microsoft Excel, Big Query, Google Data Studio, and power query is required.
• Experience in training project personnel in the use of database management and different software applications is desired.Experience in writing and maintaining database design documentation and operating manuals is an asset.
• Experience in analyzing data and producing reports ise an asset.

c. Language

• Fluency in English and Myanmar languages is required.