Job Description

Your role:

• Architect a scalable enterprise data environment aligned to organizational goals.
• Lead data transformation and migration for NetSuite; design data models, mappings, and integrations with NetSuite Analytics Warehouse (NSAW).
• Build and maintain ETL/ELT pipelines for structured and unstructured sources using tools such as dbt, Fivetran, Talend, or similar.
• Create clear dashboards and visualizations in Tableau, Power BI, or Excel for both technical and non-technical audiences.
• Partner with teams to define reporting needs, KPIs, and data standards that drive consistent, trusted insights.
• Perform statistical and trend analyses to inform decisions and evaluate programs.
• Establish and champion data integrity, quality, and governance across systems.
• Advise on data and analytics best practices and emerging technologies to drive continuous improvement.
• Collaborate with leadership to surface strategic insights and improve operational efficiency.
• Mentor and guide future data team members as the function grows.

What you’ve got:

• Bachelor’s or master’s in data science, statistics, computer science, or related field—or equivalent experience.
• 5+ years in data analysis/analytics with strong problem-solving skills.
• Advanced SQL skills with experience in data modeling and warehousing concepts.
• Hands-on ETL/ELT pipeline development using tools like dbt, Fivetran, Talend, or similar.
• Proficiency with data visualization tools such as Tableau, Power BI, and advanced Excel.
• Clear communicator who translates technical concepts for non-technical stakeholders and presents insights effectively.
• Self-directed with the ability to set priorities, manage timelines, and deliver independently and collaboratively.
• High attention to detail, critical thinking, and strong written documentation practices.
• Ability to thrive in a fast-paced environment; occasional travel may be required.

Preferred:

• Experience with Oracle NetSuite and NetSuite Analytics Warehouse (NSAW).
• ERP implementation experience and data governance leadership.
• Team leadership and ability to build and motivate a growing analytics function.
• Experience in nonprofit or social services environments.

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