Remote Data Jobs · SQL

• Design and implement large-scale data solutions for the mining industry.
• Build scalable data pipelines and analytics workflows using cloud platforms and AI/ML frameworks.
• Translate complex business requirements into robust technical solutions and mentor peers.

Maintain and optimize ELT pipelines to ensure reliable data flows. Develop and maintain scalable data models following best practices. Support data validation, testing, documentation, and governance across environments.

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.

Lead the assessment of new data sources, including coverage, quality, compliance, and commercial potential. Build and deploy statistical, predictive, and machine learning models to extract relevant insights from data. Lead client-facing meetings to present analytical findings, demonstrate product capabilities, and guide solution adoption.

• Power data pipelines for an AI-driven claims recovery platform.
• Build clean data flows.
• Work with modern tools like Databricks and dbt.

• Develop reliable, comprehensive tracking and analysis of customer usage metrics.
• Turn data into actionable insights to guide Product, GTM, and Finance strategies.
• Build intuitive dashboards and tools that make complex insights easy to act on.

• Develop, enhance, and maintain custom and off-the-shelf applications, with a focus on ETL/SSIS processes.
• Troubleshoot and resolve production issues, identifying root causes and implementing technical solutions.
• Provide training and guidance to end-users on applications and new system functionality.

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.

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.