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Accountabilities:
- Build and maintain user-facing reports and analytics products that help customers understand workforce data and identify opportunities for improvement.
- Develop and maintain data models and pipelines in Google BigQuery, applying techniques like partitioning and clustering to optimize performance.
- Collaborate cross-functionally with Product, Engineering, Design, and UX teams to turn complex data into actionable insights.
Requirements:
- Bachelor’s degree or equivalent in a quantitative field and 3+ years of experience in data analysis or similar role.
- Strong SQL skills with hands-on experience in Google BigQuery and Looker, plus practical Python for data tasks.
- Familiarity with Generative AI tools and statistical methods such as t-tests and linear regression.
Benefits:
- Fully remote, full-time position with a 40-hour work week, aligned with East Coast US hours.
- Compensation paid in USD with flexible payment frequency (biweekly or monthly).
- Opportunity to work on an AI-focused SaaS platform with exposure to modern analytics and AI capabilities.
US Security & IT
The company provides an AI-focused SaaS platform that helps customers understand workforce performance and identify opportunities for improvement. It operates with a distributed, remote team and emphasizes cross-functional collaboration and data-driven decision-making.