Remote Data Jobs · SQL

• Build and enhance cloud-based data tools and reporting systems.
• Develop robust, scalable data pipelines.
• Leverage emerging AI tools to accelerate development.

Design, implement, and maintain robust data pipelines and transformation workflows. Work with cloud data warehouses, orchestration tools, and modern ETL frameworks. Collaborate with cross-functional stakeholders to standardize best practices.

Design and implement data architecture on cloud platforms. Shape data strategy, ensuring efficient data integration, storage, and accessibility. Maintain data security and compliance.

Focus on translating business needs into analytics and interpretation of analytics into business applications. Innovate and build solutions for FM using new technologies. Develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention.

Work directly with Youth Villages and partner data using SQL, Excel, and PowerPoint to create/update reports. Compile and analyze data from electronic medical records and other databases. Establish processes for data quality checks, including writing SQL scripts.

Work directly with Youth Villages and partner data using SQL, Excel, and PowerPoint to create/update reports. Compile and analyze data from electronic medical records and other databases. Establish processes for data quality checks, including writing SQL scripts.

Deliver recommendations and actionable insights to stakeholders to help drive revenue. Optimize GTM motions using technical and business intuition, ensuring data-driven approaches drive efficiency and revenue growth. Solve complex problems through novel data solutions and analytics, and support the development of predictive models.

Design, implement, and maintain robust data pipelines and transformation workflows. Work with cloud data warehouses, orchestration tools, and modern ETL frameworks. Collaborate with cross-functional stakeholders to standardize best practices.

Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning. Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact. Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization.

• Build and enhance cloud-based data tools and reporting systems.
• Develop robust, scalable data pipelines.
• Leverage emerging AI tools to accelerate development.