MEL Data Systems and Statistics Consultant

Philippines

Actively hiring, first seen by us 5 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Build offline KoboToolbox data collection forms and configure 20 project tablets
Build a project database with unique IDs linked to the verified supplier registry
Develop interactive monitoring dashboards for sourcing, kitchens, attendance and income

From the employer’s posting

Program mobile data collection forms in KoboToolbox (XLSForm) with validation logic, skip patterns, GPS capture, and offline synchronization, and configure the 20 project tablets

Build the project database with unique IDs for farmers, learners (pseudonymized), schools, kitchens, and suppliers, linking procurement transactions to the verified supplier registry

Develop interactive dashboards for routine monitoring: monthly sourcing compliance, kitchen operations per feeding cycle, attendance, and quarterly farmer income and GEDSI monitoring

Education & alternatives

Requirements:- Data programmer: a degree in computer science, IT, statistics, or a related field, with at least 5 years of experience building mobile data collection systems (KoboToolbox, ODK, or similar), relational databases (SQL), and dashboards (Power BI, Looker Studio, or similar). - Statistician: a Master's degree in statistics, biostatistics, epidemiology, or a related field, with at least 5 years of experience in survey sampling and the analysis of household, school, or farm surveys using Stata, R, or SPSS. - Experience handling anthropometric and dietary data (e.g., WHO AnthroPlus) is an advantage.

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 29, 20265 days ago
Recorded sightings: 6
Last seen by us: Nov 3, 2026

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Where the posting names them

- Prepare anonymized datasets and codebooks, archive the data securely, and hand over the system with documentation and training to IIRR and partners. Requirements:- Data programmer: a degree in computer science, IT, statistics, or a related field, with at least 5 years of experience building mobile data collection systems (KoboToolbox, ODK, or similar), relational databases (SQL), and dashboards (Power BI, Looker Studio, or similar). - Statistician: a Master's degree in statistics, biostatistics, epidemiology, or a related field, with at least 5 years of experience in survey sampling and the analysis of household, school, or farm surveys using Stata, R, or SPSS.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

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General Description

We are seeking a service provider or individual with combined data programming and statistical skills to build and maintain the LLRSM digital MEL system and to provide statistical support to the research and MEL team.

Specific objectives:

Design, build, and maintain an integrated digital MEL system. It will include mobile data collection forms that work offline, a central database with unique-ID registries for farmers, schools, kitchens, and suppliers, and interactive dashboards covering the project's six impact categories.
Provide statistical design and analysis support for the baseline, midline, and endline assessments: sampling and sample size, data cleaning and validation, derived indicators, and datasets and tables for reporting.
Ensure data quality and security and compliance with the Data Privacy Act, and hand over a sustainable, documented system to IIRR and its partners.

Scope of Work and Activities:

The main activities of the consultant will include:

Map indicators with the IIRR MEL team and partners, and prepare indicator reference sheets and a data dictionary for all project indicators.
Program mobile data collection forms in KoboToolbox (XLSForm) with validation logic, skip patterns, GPS capture, and offline synchronization, and configure the 20 project tablets.
Build the project database with unique IDs for farmers, learners (pseudonymized), schools, kitchens, and suppliers, linking procurement transactions to the verified supplier registry.
Develop interactive dashboards for routine monitoring: monthly sourcing compliance, kitchen operations per feeding cycle, attendance, and quarterly farmer income and GEDSI monitoring.
Train data stewards, field technicians, and enumerators, and prepare a user manual.
Run quarterly data quality checks and validation with the IIRR MEL team, and give feedback to data collectors.
As statistician: prepare the sampling design and sample sizes for the school, household, and farmer surveys with TORs 1–3; draft statistical analysis plans; clean and merge data; compute derived variables (e.g., WHO AnthroPlus z-scores, GDQS, KAP scores, income measures); run baseline–midline–endline comparisons with appropriate significance tests and disaggregation; and produce tables for the interim and final reports.
Prepare anonymized datasets and codebooks, archive the data securely, and hand over the system with documentation and training to IIRR and partners.

Requirements:

Data programmer: a degree in computer science, IT, statistics, or a related field, with at least 5 years of experience building mobile data collection systems (KoboToolbox, ODK, or similar), relational databases (SQL), and dashboards (Power BI, Looker Studio, or similar).
Statistician: a Master's degree in statistics, biostatistics, epidemiology, or a related field, with at least 5 years of experience in survey sampling and the analysis of household, school, or farm surveys using Stata, R, or SPSS.
Experience handling anthropometric and dietary data (e.g., WHO AnthroPlus) is an advantage.
Working knowledge of the Data Privacy Act of 2012 and of secure data management practices.
Experience supporting MEL systems for development projects, preferably in agriculture, nutrition, or education.

Interested applicants who meet the above job criteria are invited to submit the following requirements through the application portal at iirr.applytojob.com/apply:

Cover Letter (1–2 pages) summarizing key competencies and skills relevant to the position
Curriculum Vitae (3–5 pages)
Contact Information (telephone number and email address)
Three Character References, including addresses and contact email addresses/phone numbers

The closing date for applications is 15 November 2026 or until a suitable candidate is identified.

Follow IIRR on social media to learn more about our work and to stay informed about future opportunities to join the organization.

We will respond to short-listed candidates only.

IIRR is an equal opportunity employer.

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