Interim Data Analyst/Engineer

RGP is a consulting company focused on providing innovative solutions to businesses. They are seeking an Interim Data Analyst/Engineer to support a global technology client in stabilizing and modernizing their data environment by refactoring legacy assets and improving data architecture.

Responsibilities:

• Refactor and rebuild existing SQL scripts, tables, and workflows to improve performance, scalability, and maintainability
• Design and develop new SQL-based data pipelines where needed, following data engineering best practices
• Establish consistent coding standards, data modeling conventions, and architectural patterns across SQL artifacts
• Ensure all development aligns with structured SDLC processes when modifying or replacing legacy assets
• Implement and operate within structured development processes including: Requirements definition, Design and development, Testing and validation, Controlled production deployments
• Improve reliability by introducing stronger testing frameworks and change management practices
• Build and maintain end-to-end data pipelines, including scripting, workflow orchestration, table creation, and downstream data consumption
• Support dashboards and reporting used by Finance stakeholders, including development within dashboarding tools
• Replace fragmented or speed-optimized legacy solutions with scalable, well-documented data architectures
• Serve as a resource for SQL development and data engineering best practices within a finance-focused environment

Requirements:

• Expert-level SQL, with the ability to design complex queries and pipelines from scratch
• Strong data engineering experience
• Hands-on experience developing reports using dashboarding or visualization tools
• Experience working within structured SDLC processes, including requirements, testing, deployment, and production support
• Experience supporting Finance or Accounting data environments
• Demonstrated ability to modernize and stabilize legacy analytical environments
• Ability to manage the end-to-end lifecycle of data solutions, from scripting and pipeline design to dashboard delivery
• Revenue accounting knowledge is a plus
• Industry experience from technology or SaaS companies highly preferred