Data Platform Enablement Analyst

The Data Platform Analyst serves as a critical operational partner within our modern cloud data ecosystem, helping ensure analysts, engineers, and business stakeholders can effectively access, utilize, and trust our enterprise data platforms. 

This role sits at the intersection of Analytics, Data Engineering, Platform Engineering, Infrastructure, and Security teams. The ideal candidate combines strong SQL and data platform experience with a passion for operational excellence, troubleshooting, access management, and user enablement. This individual will play a key role in supporting Databricks and Azure-based analytics environments, helping maintain secure access models, resolving platform-related issues, documenting operational processes, and improving overall platform reliability and adoption. 

This is an excellent opportunity for a technical analyst, data platform analyst, analytics platform analyst, or business systems analyst who enjoys solving problems, supporting users, and helping organizations maximize the value of their data platforms. 

Key Responsibilities 

Platform Access & Governance 

• Lead analytics user access administration across Databricks, Azure, SQL Server, and related analytics platforms. 

• Partner with Infrastructure and Security teams to design, implement, and maintain secure role-based access models. 

• Support governance initiatives by documenting and improving access controls, permissions structures, and operational procedures. 

• Assist in auditing and maintaining appropriate access levels across analytics environments. 

Platform Operations & User Enablement 

• Serve as the primary operational point of contact for analytics users experiencing platform-related challenges. 

• Investigate and coordinate resolution of issues involving data access, platform functionality, user permissions, data quality concerns, and analytics tooling. 

• Support platform adoption and self-service analytics initiatives through user support and enablement activities. 

• Maintain operational documentation, runbooks, support processes, and knowledge articles. 

Data Platform Support 

• Partner with Data Engineering, DBA, and Platform Engineering teams to troubleshoot data replication, data flow, and platform-related issues. 

• Coordinate change requests and support activities impacting analytics platforms and data consumers. 

• Document data flows, replication processes, and platform dependencies to improve operational efficiency and supportability. 

• Assist with monitoring platform utilization and identifying opportunities for platform improvement. 

Cloud Platform Optimization 

• Support cloud cost monitoring, reporting, and optimization efforts across analytics platforms. 

• Partner with platform leadership to identify opportunities for operational efficiency and cost reduction. 

• Participate in platform operations reviews and continuous improvement initiatives. 

Stakeholder