Global Remote Data Analyst Position at Catholic Relief Services

NOTE: This is a global remote position. Candidates must be based in countries where Catholic Relief Services (CRS) has existing offices. CRS does not sponsor visas for telecommuting employees.

About CRS

Catholic Relief Services (CRS) is the official international humanitarian agency of the Catholic community in the United States. We are committed to saving, protecting, and transforming lives in need across more than 100 countries, regardless of race, religion, or nationality. Our efforts span emergency response, health, agriculture, education, microfinance, and peacebuilding programs.

Job Summary

The Data Analyst at CRS is responsible for developing data products aligned with industry best practices. Working within cross-functional teams, the Data Analyst ensures the preparation of data, deployment of machine learning and geospatial algorithms, and provides technical assistance for data interpretation. This role is crucial for advancing data-informed decision-making within CRS.

Roles and Key Responsibilities

• Build and maintain relationships with program and global sector teams to leverage advanced analytics approaches and enhance data utilization for improved program quality, impact, and reach.
• Develop and maintain data products for CRS’s program and sector teams, ensuring proper cataloging, accessibility, and appropriate usage.
• Lead data identification and preparation, provide technical assistance for new data sources, and maintain third-party data provider relationships.
• Offer technical support and capacity strengthening in data analysis, visualization, cleaning, and interpretation, deriving actionable insights from data analyses.
• Develop robust technical documentation for CRS’s data products, enabling replication, scaling, and adherence to best practices.
• Contribute to CRS’s knowledge management and learning agenda in data science, capturing, documenting, and sharing successes, best practices, and lessons learned.
• Advise on hardware and software requirements for impactful and cost-effective data analytics.

Key Working Relationships

Internal:

• Members of the ICT4D team
• PIQA staff
• Program teams
• Sector leads
• Data-aligned staff within GKIM

External:

• Vendors of data and data analysis software
• Peers in other agencies (e.g., NetHope)
• Staff among data partner organizations
• Consultants, as relevant

Basic Qualifications (BQs)

• Bachelor’s degree in mathematics, statistics, data science, or a related field
• Minimum of five years’ experience as a data analyst
• Proficiency in linear algebra, probability theory, and statistical inference
• Programming experience with Python or R
• Familiarity with databases and SQL
• Experience with machine learning algorithms
• Experience with geospatial data analyses
• Experience in creating forecasting algorithms

Required Languages

English; French and/or Spanish is a plus.

Travel

Must be willing and able to travel up to 35%.

Knowledge, Skills, and Abilities (KSAs)

• Strong relationship management skills to influence and work with individuals in diverse settings.
• Strong analytical and problem-solving skills within humanitarian and development contexts.
• Excellent written and oral communication skills, particularly for conveying data insights and technical concepts to non-technical audiences.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong presentation, facilitation, training, and mentoring skills.
• Proactive, resourceful, and results-oriented approach.

Preferred Qualifications

• Master’s degree in mathematics, statistics, or data science
• Experience in international development and humanitarian assistance, especially with an international NGO
• Experience with Snowflake, Clarista, and ArcGIS

Agency-wide Competencies (for