Data Analyst II

at  Catholic Relief Services

JOB SUMMARY

The Data Analyst is responsible for 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 teams, identifying data sources, supporting the preparation of data, and developing and maintaining relevant data products. They also deploy ML and geospatial algorithms, providing technical assistance and leading capacity strengthening to project and sector teams in interpreting and using the results of the analyses through effective engagement and communication. The role advises on hardware and software requirements for data analytics and contributes to CRS’s strategic priority to advance data-informed decision-making within the agency.

• Build and maintain relationships with program and global sector teams to identify opportunities to leverage advance analytics approaches and strengthen capacity around leveraging data for increased programmatic quality, impact, and reach
• Develop appropriate data products for CRS’s program and sector teams, following industry best practices and through engagement with sector teams. Support the maintenance of these products, ensuring both data and models are functioning properly, and are cataloged, accessible, and used appropriately.
• Lead 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 lead capacity strengthening to sector/project teams for data analysis, visualisation, cleaning, and interpretation, as well as deriving actionable insights from data analyses.
• Develop robust technical 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, as well as support development of communication products highlighting key findings and data insights.
• Advise on the hardware and software requirements for impactful and cost-effective data analytics to be implemented through engagement with relevant teams across the agency.