Senior Data Analytics Engineer

Riot Platforms, Inc. • Austin, TX

8d

About The Position

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.

Requirements

• 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 Haves

• 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.

Responsibilities

• 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.

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: Includes 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior