Key Responsibilities

Data Collection & Management

• Design, deploy, and manage complex digital data collection systems using SurveyCTO.

• Develop and maintain multilingual survey instruments, workflows, and quality assurance mechanisms.

• Monitor data quality through automated checks, back-checks, and enumerator performance tracking.

Data Engineering & Analytics

• Build and maintain automated ETL pipelines using Python, SQL, and related technologies.

• Manage and optimize databases, ensuring data integrity, security, and performance.

• Maintain data documentation, codebooks, metadata, and data dictionaries.

Dashboards & Business Intelligence

• Develop and maintain dashboards for program monitoring, field operations, donor reporting, and management decision-making.

• Work across BI platforms such as Power BI, Tableau, Metabase, or Superset.

• Integrate dashboards into web platforms and digital products where required.

Automation & Innovation

• Automate recurring data processing and reporting workflows.

• Support integration of external data sources and geospatial datasets.

• Contribute to the development and enhancement of RADS' digital platforms and data systems.

Data Governance

• Ensure compliance with data protection, privacy, and ethical research standards.

• Implement best practices for data security, access management, and data retention.

Team Collaboration

• Support and mentor junior data staff and consultants.

• Coordinate with software developers, researchers, and program teams to meet organizational data needs.

• Serve as a key technical resource for data-related initiatives across the organization.

Qualifications & Experience

Required

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Public Health, or a related field.

• 3–5 years of experience in data systems, analytics, database management, or data engineering.

• Strong experience with SurveyCTO, Python, SQL/MySQL, and data management workflows.

• Experience developing dashboards using Power BI, Tableau, Metabase, Superset, or similar tools.

• Proficiency in data cleaning, transformation, and analysis using Python and/or Stata.

Preferred

• Experience with geospatial analysis tools (QGIS, GeoPandas, Leaflet).

• Familiarity with cloud environments (AWS, GCP) and workflow automation tools.

• Experience supporting research studies, health programs, development projects, or large-scale surveys.

What We Are Looking For

• Strong problem-solving and analytical skills.

• Attention to detail and commitment to data quality.

• Ability to manage multiple systems and priorities simultaneously.

• Excellent documentation and communication skills.

• A proactive mindset with a passion for building scalable and reliable data infrastructure.

Only shortlisted candidates will be contacted.