Data Officer for Myanmar, based in Yangon (Link For External Applicants)

BACKGROUND ON IMPACT AND REACH

IMPACT Initiatives is a humanitarian NGO based in Geneva, Switzerland, managing several initiatives including the REACH Initiative. The IMPACT team specializes in data collection, management, analysis, GIS, and remote sensing. Launched through a partnership with ACTED, an international NGO with a presence in thirty countries, IMPACT benefits from ACTED’s operational support.

We are currently seeking a Data Officer to support our team in Myanmar.

Position: Data Officer

Contract duration: 6 months

Location: Yangon

Starting Date: June 2025

COUNTRY PROFILE

Myanmar faces a complex humanitarian crisis characterized by armed conflict, inter-communal tensions, and natural hazards. The military takeover in February 2021 worsened vulnerabilities, with an estimated 19.9 million people in need and over 3.5 million internally displaced persons. The March 2025 earthquake further increased needs and displacement.

The REACH team, based in Yangon and Bangkok, has supported Myanmar’s humanitarian response since 2022 through assessments like MSNAs, JMMI, AoC, and others, continually exploring innovative ways to inform response efforts.

Functions

Under the supervision of the IMPACT Data Specialist, the Data Officer will produce analysis products, including research design, data collection tools, scripts, and dashboards. The role involves engaging with partners to promote data participation, ensuring resource efficiency, and possibly supervising data collection activities. The position’s priorities will be regularly reviewed with the Data Specialist.

The Data Officer will be hosted by ACTED and report to ACTED’s Country Director, adhering to all relevant policies and regulations.

Responsibilities

Research Cycle Management

• Lead research planning, sampling design, and constructing sampling frames.
• Create, review, and troubleshoot data collection tools to meet quality standards.
• Train teams on data cleaning and management techniques.
• Set up and oversee data processes using R.

Data Management

• Manage, clean, and analyze data, ensuring accuracy and quality.
• Maintain R-based data management and analysis systems.
• Develop scripts for descriptive, hypothesis testing, correlation, and regression analyses in R.
• Automate data processes where possible.
• Create interactive visualizations and information products.

Knowledge Sharing and Coordination

• Provide technical support to teams and stakeholders.
• Support information management efforts and ensure effective communication.

Data Confidentiality and Protection

• Maintain strict confidentiality and comply with data protection policies.
• Implement measures to prevent unauthorized data sharing.