iO Associates
Senior Data Analytics Engineer
NYC - Onsite 5x week
FTE
US Citizenship/Green card required.
We're partnering with a fast-growing Series A SaaS startup to find a seasoned Data Analytics Engineer who can take ownership of their data architecture and reporting systems from the ground up. This role is ideal for someone who thrives in a high-impact environment and wants to shape how data drives business decisions. If you're excited by the idea of building core infrastructure at an early-stage company, read on.
Responsibilities:
Build and manage data pipelines that move and transform information from source systems into Snowflake. Prioritize automation, reliability, and scalability to ensure seamless data flow across the organization. Create enterprise dashboards for data access Develop scalable data models and define warehouse structures that capture core business activities such as user behavior, purchases, and engagement, while establishing a consistent set of metrics and dimensions for use across the organization. Design foundational infrastructure Requirements:
BS in Computer Science, Data Science, or related field (MS desired) 4+ years of working experience in start-up environments Expert in SQL, Snowflake, dbt, and other modern data stack tools. Strong Python experience BI Experience (Looker, Tableau, etc.) Start-up experience a must Strong communications/stakeholder management experience.
We're partnering with a fast-growing Series A SaaS startup to find a seasoned Data Analytics Engineer who can take ownership of their data architecture and reporting systems from the ground up. This role is ideal for someone who thrives in a high-impact environment and wants to shape how data drives business decisions. If you're excited by the idea of building core infrastructure at an early-stage company, read on.
Responsibilities:
Build and manage data pipelines that move and transform information from source systems into Snowflake. Prioritize automation, reliability, and scalability to ensure seamless data flow across the organization. Create enterprise dashboards for data access Develop scalable data models and define warehouse structures that capture core business activities such as user behavior, purchases, and engagement, while establishing a consistent set of metrics and dimensions for use across the organization. Design foundational infrastructure Requirements:
BS in Computer Science, Data Science, or related field (MS desired) 4+ years of working experience in start-up environments Expert in SQL, Snowflake, dbt, and other modern data stack tools. Strong Python experience BI Experience (Looker, Tableau, etc.) Start-up experience a must Strong communications/stakeholder management experience.