Data Systems and Statistics Consultant

IIRR

. Design, build, and maintain an integrated digital MEL system .

Posted 11/12/2026contractRemote • PhilippinesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining mobile data collection systems, statistical analysis, and secure data management practices. Proficient in utilizing tools for data visualization and analysis while ensuring compliance with data privacy regulations.

Highest-signal resume keywords

Mobile Data Collection Systems DevelopmentStatistical Analysis Using Stata, R, or SPSSDashboard Development with Power BI or Looker StudioRelational Database Management (SQL)Survey Sampling and Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Mobile Data CollectionStatistical AnalysisData Cleaning and MergingGPS Data CaptureData Validation LogicSurvey DesignData Quality ChecksData Dictionary PreparationBaseline-Midline-Endline ComparisonsWHO AnthroPlus z-scores

Soft Skills

Training and MentoringCommunicationFeedback Provision

Tools & Technologies

KoboToolboxODKPower BILooker StudioSQLStataRSPSS

Industry Keywords

MEL SystemsData Privacy Act of 2012AgricultureNutritionEducation

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Design, build, and maintain an integrated digital MEL system
Develop offline-capable mobile data collection forms with validation logic, skip patterns, GPS capture, and offline synchronization
Configure 20 project tablets
Build a project database with unique IDs for farmers, learners, schools, kitchens, and suppliers
Link procurement transactions to the verified supplier registry
Develop interactive dashboards for sourcing compliance, kitchen operations, attendance, farmer income, and GEDSI monitoring
Map indicators with the IIRR MEL team and partners
Prepare indicator reference sheets and a data dictionary
Train data stewards, field technicians, and enumerators
Prepare a user manual
Conduct quarterly data quality checks and validation and provide feedback to data collectors
Prepare sampling designs and sample sizes for school, household, and farmer surveys
Draft statistical analysis plans
Clean and merge data and compute derived variables, including WHO AnthroPlus z-scores, GDQS, KAP scores, and income measures
Run baseline–midline–endline comparisons with appropriate significance tests and disaggregation
Produce tables for interim and final reports
Prepare anonymized datasets and codebooks
Archive data securely and hand over the system with documentation and training to IIRR and partners

Requirements

What you’ll need

Data programmer: a degree in computer science, IT, statistics, or a related field
Data programmer: at least 5 years of experience building mobile data collection systems using KoboToolbox, ODK, or similar
Experience with relational databases (SQL)
Experience with dashboards such as Power BI, Looker Studio, or similar
Statistician: a Master's degree in statistics, biostatistics, epidemiology, or a related field
Statistician: at least 5 years of experience in survey sampling and analysis of household, school, or farm surveys
Experience using Stata, R, or SPSS
Working knowledge of the Data Privacy Act of 2012
Knowledge of secure data management practices
Experience supporting MEL systems for development projects, preferably in agriculture, nutrition, or education
Experience handling anthropometric and dietary data, such as WHO AnthroPlus, is an advantage
Cover Letter (1–2 pages)
Curriculum Vitae (3–5 pages)
Contact Information (telephone number and email address)
Three Character References, including addresses and contact email addresses/phone numbers

Benefits

Comp & perks

Home-based work arrangement
Fieldwork in Guinayangan, Quezon
Opportunity to support research and MEL activities for a development project
Training and handover/documentation activities with IIRR and partners
Equal opportunity employer