
Senior Data Analyst
Posted Sep 14

Posted Sep 14
This is a fully remote position, open to applicants in New York.
• Oversee the complete insights pipeline for both internal and external data requests, managing everything from scoping to execution and delivery.
• Coordinate request intake and project tracking systems utilizing platforms such as Zendesk, HubSpot, and Asana.
• Act as the primary contact for media and partner data requests, providing clarity on scope, deliverables, and timelines.
• Perform descriptive and exploratory analyses on sheltering data.
• Generate tailored insights for press, internal inquiries, peer-reviewed publications, and seasonal reports.
• Develop documents, summary tables, and data visualizations to cater to diverse audiences.
• Write analytical scripts in SQL, Python, or R and ensure proper documentation is maintained.
• Design self-service dashboards and automate data analysis workflows.
• Cultivate relationships across teams and with external partners.
• Create reports, dashboards, and monitoring tools to ensure data quality and observability.
• Investigate data quality incidents and anomalies; lead the quality triage and escalation process.
• Assist in improving machine learning models through data preparation, validation, model runs, and summarizing results.
• Adhere to data governance policies, business rules, definitions, and quality assurance standards.
• Incorporate and assess third-party macroeconomic, demographic, and community data.
• Optimize and automate manual processes.
• Document data quality concerns, decisions made, and known limitations.
• A bachelor’s degree is required.
• At least 4 years of experience in data analysis, data management, data reporting, or applied research is necessary.
• Experience within the animal welfare sector, specifically working with sheltering data, is required.
• Familiarity with sheltering data in shelter management software like PetPoint, Chameleon, Shelterluv, ShelterBuddy, or comparable tools is essential.
• Experience in managing structured intake and project tracking systems is required.
• Proficiency in SQL and either Python or R is needed.
• Knowledge and experience with data visualization and dashboard tools such as Tableau, Power BI, or similar are necessary.
• Understanding of descriptive and inferential statistical techniques is required.
• Proven ability to communicate and present to both technical and non-technical audiences is essential.
• Experience with animal welfare data collection, animal sheltering software, and animal shelter data analysis is required.
• Proficiency in English is mandatory.
• Willingness to travel up to 10% annually is necessary.
• Ability to work typically Monday through Friday, 9am-5pm, with flexibility for early mornings, evenings, and weekends is required.
• An advanced degree in statistics, data science, data analytics, or a related quantitative field is preferred, or equivalent work experience.
• Experience in enhancing supervised learning and forecasting models is a plus.
• Familiarity with or enthusiasm for AI-assisted development tools such as Claude Code, Codex, or Copilot is advantageous.
• Ability to embody ASPCA core values and behavioral competencies is essential.
• Affordable health insurance, including medical coverage, employer-paid dental, and optional vision coverage.
• Flexible time off policies encompassing vacation days, sick leave, bereavement time, paid parental leave, 10 company-paid holidays, and personal time off.
• A 401(k) plan featuring dollar-for-dollar employer matching up to 4% along with an additional 4% contribution.
• Opportunities for professional development, including classes, on-the-job training, coaching and mentorship, internal mobility, and field opportunities.
LawnStarter
AIS Insurance
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