About the roleRiot 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.
What you'll do - 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., NetSuite, 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.
What you'll bring- 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, BigQuery, 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, Grafana, or similar. Strong DAX or equivalent semantic-layer skills preferred.
- ERP & operational data - Experience integrating data from ERP, financial, project management, or other operational systems (NetSuite, Epicor, Procore, SAP, Oracle, Workday, or similar).
- Problem-solving - Strong analytical skills and the ability to work through loosely defined business questions while managing multiple priorities.
- Communication - Excellent communication skills to effectively interact with both technical and non-technical stakeholders.
- Cross-functional comfort - Thrives in an environment where priorities span finance, operations, and analytics.
Nice to have- Experience with NetSuite Planning & Budgeting (NSPB) or other Essbase-based planning tools.
- Familiarity with dbt or similar transformation frameworks.
- Working knowledge of Python or another scripting language for data work.
- Exposure to data ingestion / orchestration tooling (Fivetran, Airbyte, Airflow, Dagster, ADF, or similar).
- Experience with version control and CI/CD workflows for analytics code.
- Experience integrating AI into analytics and data engineering workflows.
- Experience in manufacturing, construction, energy, mining, data center, or other capital-intensive industries.
Compensation and Benefits- Competitive Salary: Base range (commensurate with experience) + bonus + sign-on equity grant.
- Long-Term Growth: Eligible to participate in Riot's equity incentive programs and share in the success you help build.
- 401(k) Retirement Plan: Incudes a generous company match.
- Comprehensive Health Coverage: Multiple medical plan options, including 100% company-paid plans.
- Wellness & Lifestyle Perks: Enjoy free gym memberships, pet insurance, childcare discounts, and more to support your life both in and out of work.
