Catholic Relief Services · 1 day ago

Data Analyst

United States

Full-time

Remote

Mid Level

3+ years exp

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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.

Qualification

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MathematicsStatisticsData ScienceData AnalysisPythonRSQLPower BITableauMachine LearningGeospatial AnalysisLinear AlgebraProbability TheoryTechnical AssistanceRelationship ManagementCoaching SkillsEnglish LanguageFrench LanguageSpanish LanguageMentoring Skills

Required

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

English; French and/or Spanish is a plus.

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

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