Data Analyst (Grant Funded)

Job Summary

The Data Analyst contributes to the development of appropriate data products for CRS’s program and sector teams, in line with industry best practices. They work as part of cross-functional data science team and will coordinate with data scientists, program and sector staff to identify data sources, support the preparation of data, and develop and maintain relevant data products. They also deploy ML and geospatial algorithms, providing technical assistance and capacity strengthening to project and sector teams in interpreting and using the results of the analyses through effective engagement and communication. The role contributes to CRS’s strategic priority to advance data-informed decision-making within the agency.

Roles and Key Responsibilities

• Build and maintain relationships with program and sector teams to identify opportunities to leverage advance analytics approaches and strengthen capacity around leveraging data for increased programmatic quality, impact, and reach  


• Contribute the development of appropriate data products for CRS’s program and sector teams, following industry best practices and through engagement with sector teams. Support the maintenance and continuous improvement of these products, ensuring both data and models are functioning properly, and are cataloged, accessible, and used appropriately. 


• Support data identification and preparation, by providing technical assistance for the search and identification of new data sources, as well as the ingestion, preparation, and onboarding of data. Maintain relationships with third party data providers as appropriate.  


• Provide technical assistance and capacity strengthening to sector/project teams for data analysis, visualization, cleaning, and interpretation, as well as deriving actionable insights from data analyses.


• Contribute to the development of robust documentation around CRS’s data products, enabling replication and scaling and ensuring best practices are continuously followed.


• Contribute to the agency’s knowledge management and learning agenda in data science through helping implement conditions for collective learning that ensure the capturing, documenting, and sharing of key successes, promising practices, and lessons learned.

Key Working Relationships:   

Internal: 

• The Analytics for Impact colleagues


• 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, including through NetHope  


• Staff among data partner organizations 


• Consultants, as relevant

Basic Qualifications (BQs)

• Bachelor’s degree in mathematics, statistics, or data science or similar field


• Minimum three years of experience as a data analyst


• Experience with linear algebra, probability theory, and statistical inference


• Demonstrable programming experience with Python or R


• Familiarity with databases and SQL 


• Familiarity with Power BI, Tableau, or other reporting software


• Experience with creating machine learning algorithms 


• Familiarity with conducting geospatial data analyses 

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 with ability to influence and work with individuals in diverse geographical and cultural settings.


• Strong analytical and problem-solving skills with understanding of the complexities associated with work in humanitarian and development contexts 


• Strong written and oral communication skills, particularly in terms of communicating data insights and complex technical approaches to non-technical audiences 


• Ability to handle multiple priorities in a fast-paced environment.


• Strong presentation, facilitation, training, mentoring, and coaching skills


• Proactive, resourceful and results-oriented

Preferred Qualifications – (If applicable)

• Master’s degree in mathematics, statistics, or data science


• Experience working in international development and humanitarian assistance, ideally with an international NGO

Agency REDI Competencies (for all CRS Staff):

• Personal Accountability – Consistently takes responsibility for one’s own actions. 


• Acts with Integrity - Consistently models values aligned with CRS Guiding Principles and mission.  Is considered honest.


• Builds and Maintains Trust - Shows consistency between words and actions.


• Collaborates with Others – Works effectively in intercultural and diverse teams.


• Open to Learn – Seeks out experiences that may change perspective or provide an opportunity to learn new things.

Agency Leadership Competencies:

• Lead Change – Continually looks for ways to improve the agency through a culture of agility, openness, and innovation.


• Develops and Recognizes Others – Builds the capacity of staff to reach their full potential and enhance team and agency performance.


• Strategic Mindset – Understands role in translating, communicating, and implementing agency strategy and team priorities.

What we offer

CRS offers a comprehensive benefits package including medical, dental, life insurance, vision, generous retirement savings plan and the opportunity to work in a collaborative, mission-driven culture that is committed to improving the lives of the poor throughout the world.