Senior Data Analytics Engineer

About Riot Platforms

Riot's (NASDAQ: RIOT) vision is to be the world's most trusted platform for powering and building digital infrastructure. Riot's mission is to empower the future of digital infrastructure by positively impacting the sectors, networks, and communities that we touch. We believe that the combination of an innovative spirit and strong community partnership allows us to achieve best-in-class execution and create successful outcomes.

At Riot, we're building the future of digital infrastructure. Our team members have unparalleled opportunities to work on groundbreaking initiatives. Through technical excellence and strategic execution, Riot has positioned itself as a leader in the industry driving advancements that continue to set new benchmarks in digital infrastructure.

We are trailblazers. Problem solvers. People who thrive in fast paced environments, communicate clearly, and bring relentless focus to efficiency and execution.

Riot Platforms is looking for a Senior Data Analytics Engineer to build and scale the data foundation that powers decision-making across the business. You'll own data models end-to-end, connect data across our ERP, project management, and operational platforms, and deliver reliable reporting through our BI stack — providing visibility across our Data Center, Bitcoin Mining, and Manufacturing operations.

This isn't a dashboard-building role — you'll be shaping the data models, metric definitions, and reporting frameworks that business leaders depend on. If you thrive on turning complex, fragmented data into clear, trusted insight, this is a high-impact opportunity to leave a lasting mark on how Riot scales analytics.

• Build the core analytics data model – Design and maintain scalable fact and dimension models in our cloud data warehouse that support enterprise reporting and analysis.
• Create a trusted reporting layer across business systems – Integrate and model data from ERP, financial, project management, and operational platforms (e.g., Net Suite, Procore, Epicor, Snowflake, Timestream) to create a consistent source of truth.
• Preserve critical business context across systems – Identify where important financial or operational detail is lost in source systems or handoffs, and design data structures that retain the fidelity needed for analysis.
• Establish modeling standards and analytics best practices – Help define scalable approaches to naming, structure, metric logic, testing, and maintainability across the analytics environment.
• Deliver meaningful reporting and dashboards – Build and maintain dashboards and semantic models in our BI tooling that give stakeholders visibility into financial performance, project execution, and operational KPIs.
• Partner directly with stakeholders to solve ambiguous problems – Translate real business questions – such as cost overruns, efficiency gaps, and project performance – into clear datasets, metrics, and reporting solutions.
• Support planning and forecasting workflows – Maintain and improve planning and budgeting environments to help align planning, forecasting, and actual performance.
• Standardize KPIs across teams – Work with Finance, IT, Continuous Improvement, Operations, and other functions to define, document, and govern consistent metrics across the organization.

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field – equivalent experience considered.
• 5+ years of experience in analytics engineering, data engineering, BI, or a related data role.
• Expert-level SQL – Comfort with complex joins, window functions, CTEs, set-based logic, and query optimization across large datasets. Able to read, refactor, and tune SQL written by others.
• Modern cloud data warehousing – Strong hands-on experience with at least one modern cloud warehouse (Snowflake, Big Query, Databricks, Redshift, or similar). Snowflake experience preferred.
• Dimensional modeling – Deep understanding of star/snowflake schemas, slowly changing dimensions, and scalable analytics structures.
• Modern BI / semantic-layer tooling – Hands-on experience with Power BI, Tableau, Looker, Sigma,…