Conduct statistical analyses, predictive modeling, and machine learning to support strategic and programmatic decisions, delivering actionable insights with high accuracy standards
Develop, administer, and maintain HCZ's data management and reporting systems, including user access controls and data quality monitoring
Produce regular analysis reports and develop dashboards that effectively communicate findings to stakeholders across the organization
Implement end-to-end analytics projects from data preparation to dashboard launch, optimizing data processing pipelines for efficiency
Build cross-functional relationships and collaborate with stakeholders to understand reporting needs and translate them into analytical solutions
Provide technical support and training to key stakeholders while pursuing ongoing professional development in machine learning and data science technologies

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, or a combination of relevant education and equivalent professional experience? (Master’s preferred)
At least 2 years of experience in a data analyst or data science role
Demonstrated proficiency in programming languages is essential for data analysis, such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, ggplot2).
Strong command of SQL for data extraction, manipulation, and database querying.
Foundational knowledge and practical understanding of statistical modeling techniques, data visualization principles, and machine learning concepts.
Proven experience building interactive dashboards and reports using business intelligence tools such as Tableau, Power BI, or Looker.
Excellent written and verbal communication skills, with the ability to translate complex data insights into clear, actionable recommendations for diverse audiences.
Exceptional organizational skills and proven ability to manage multiple projects concurrently, prioritize effectively, and meet tight deadlines with meticulous attention to detail.
Prior experience working with social impact, youth development, or community-focused organizations is a significant plus.
You have strong technical skills in data science with a passion for using data to create a positive social impact
You have excellent communication skills and the ability to explain data findings to both technical and non-technical teams
You have a commitment to continuous learning and staying updated on new data science tools and methods
You are motivated by mission-driven work and improving systems in a nonprofit, community-focused environment

Benefits

Highly competitive base salaries
Paid time off
Employee referral bonus
Career advancement
No-cost health insurance
Life Insurance
Short- and long-term disability
Additional voluntary benefits
Wellness discounts
Commuter benefits
Financial wellness perks
Additional discounts (flights, hotels, theme parks, concert tickets, and more)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical analysispredictive modelingmachine learningdata managementdata quality monitoringdata preparationdata processing pipelinesprogramming languagesSQLstatistical modeling

Soft Skills

communication skillsorganizational skillsproject managementcollaborationtrainingattention to detailtranslating insightscontinuous learningtime managementproblem-solving