Use shelter and community data to aide in lifesaving by identifying deficits and opportunities
Create timely and meaningful reports, analyses, forecasts, etc. to fulfill organizational planning, strategy, and measurement needs
Work with leadership to identify gaps in data collection, inconsistencies, and imperfections across various internal programs and propose solutions to best measure and improve lifesaving efficiency
Collaborate with the data engineering team to help build our data ecosystem necessary for the innovations that will reach our lifesaving goals
Partner with data visualization specialists to make relevant data and insights accessible via dashboards and other visualization modalities

Requirements

Bachelor's degree in statistics, mathematics, computer science, a related field, or equivalent experience
2+ years of professional experience in quantitative analysis, predictive modeling, data science, and machine learning
Exceptional analytical, conceptual, and problem-solving skills
Ability to turn analysis into directly actionable insights and explain using simple language to diverse audiences
Proficiency with languages such as Python, R, or SQL, Snowflake, data visualization tools, and Microsoft Office suite preferred
Experience with the animal welfare movement and understanding of animal sheltering data is a plus

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

quantitative analysispredictive modelingdata sciencemachine learningdata visualizationPythonRSQLSnowflakeMicrosoft Office

Soft Skills

analytical skillsconceptual skillsproblem-solving skillscommunication skillscollaborationability to explain complex conceptsactionable insights

Certifications

Bachelor's degree in statisticsBachelor's degree in mathematicsBachelor's degree in computer science