Data Enumerators

About the Job

Data Enumerators and Supervisors are needed across Eight Regions in Ethiopia.

Target Regions

• Addis Ababa
• Amhara
• Benishangul Gumuz
• Harari
• Oromia
• Sidama
• Central Ethiopia
• Somali

Positions Available

• Position 1: Qualitative Data Enumerators
• Position 2: Quantitative Data Enumerators

Total Number of Enumerators Needed: 44 (See breakdown by region below.)

Number of Enumerators per Region Needed

• Addis Ababa: 3
• Amhara: 10
• Benishangul Gumuz: 3
• Harari: 2
• Oromia: 16
• Sidama: 2
• Central Ethiopia: 2
• Somali: 6

Additional Job Details

• Duration of Data Collection: 12 days
• Reports to: Field Coordinators and Supervisors
• Salary: Competitive and based on the organization’s pay scale for data enumerators.
• Application Deadline: For five consecutive days until June 29, 2025, at 11:59 PM Addis Ababa Time.
• Eligibility: Open to Ethiopian nationals only. Qualified women are strongly encouraged to apply.

The Pulse Techs Software solution and Emerald PLC seeks Data Enumerators to support research and data collection activities across eight regions in Ethiopia for assessing the cost-effectiveness of digital health initiatives.

The Pulse Techs has been working in Ethiopia since 2017 G.C in partnership with various organizations to improve healthcare through comprehensive technological solutions.

This vital study aims to evaluate the economic impact, sustainability, and scalability of Ethiopia's District Health Information System 2 (DHIS2) and Electronic Community Health Information System (eCHIS).

The Data Enumerators will play a critical role in collecting high-quality data through surveys, interviews, and other research instruments.

Responsibilities

• Conduct field-based data collection using structured surveys, interviews, and other research tools.
• Ensure accurate and timely data collection in adherence to the study protocol.
• Travel to assigned regions and communities to collect data from study participants.
• Maintain confidentiality and ethical standards during data collection.
• Collaborate with the research team to ensure data quality and consistency.
• Report daily or weekly to the Field Supervisors on data collection progress and challenges.
• Participate in training sessions to understand the study objectives, tools, and methodologies.
• Support the transcription and translation of qualitative data as needed.
• Assist in the preliminary cleaning and verification of collected data.
• Represent the Council professionally in the field and maintain positive relationships with participants and local stakeholders.

Qualifications

• Minimum of Bachelor’s degree in public health, Health Informatics, nursing, statistics, or related fields.
• At least three years of experience in data collection, supervising field data collections in health-related studies or surveys, especially in public health or digital health evaluations.
• Knowledge of DHIS 2 or eCHIS implementation or evaluation.
• Familiarity with health system structure and roles of HEWs, HCPs, and HMIS officers.
• Experience in field-based data collection, preferably in health, social, or demographic studies.
• Familiarity with electronic data collection tools (e.g., ODK, SurveyCTO, KoBoToolbox).
• Strong interpersonal and communication skills to engage with diverse communities.
• Ability to work independently and in teams, with minimal supervision.
• Willingness to travel extensively within the assigned region.
• Proficiency in local languages spoken in the assigned region is required.
• Basic understanding of research ethics and data confidentiality.
• Strong organizational skills and attention to detail.
• For qualitative data collection: must be fluent in the local language of the assigned area and have the ability to transcribe and translate interviews and focus group discussions accurately in written form.
• Preference for candidates who reside in or are familiar with the region of assignment.
• Proficiency in English and one of the preferred locations of data enumeration is required.

Required Skills

• Communication
• Attention to detail
• Data collection and analysis