SAC Budgeting & Analytics Developer

SMX; Nashville (TN); On-site; USD 70,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement plan

Job summary

SMX in Nashville seeks an experienced SAP Analytics Cloud (SAC) Developer to design, build, and implement budgeting, planning, and reporting solutions for federal government clients.

You will collaborate with functional and technical SMEs to deliver high-quality SAC solutions that meet complex client needs while mentoring teammates and sharing knowledge.

This role emphasizes data modeling, stories, and advanced analytical applications within the SAC environment.

Qualifications

• Bachelor's degree from an accredited college or university.
• 3-5 years hands-on SAC Planning development experience.
• 5+ years overall in budgeting, planning and reporting solutions.
• Proficiency in SAC data modeling, stories, and analytical applications.
• JavaScript scripting within the SAC environment.

Responsibilities

• Translate business requirements into detailed technical specifications.
• Design, build, test, and deploy SAC solutions including data models, stories and analytic apps.
• Develop calculations, data actions, and business logic using JavaScript.
• Configure customer demos and translate requirements into working functionality.
• Participate in testing and defect resolution during implementation.
• Collaborate with the solution architect and data integration team on design and data.

Skills

SAC Planning

SAC Data Modeling

Budgeting & Reporting

JavaScript

Education

Bachelor's Degree

Tools

JavaScript

Job description

SMX in Nashville seeks an experienced SAP Analytics Cloud (SAC) Developer to design, build, and implement budgeting, planning, and reporting solutions for federal government clients.

You will collaborate with functional and technical SMEs to deliver high-quality SAC solutions that meet complex client needs while mentoring teammates and sharing knowledge.

This role emphasizes data modeling, stories, and advanced analytical applications within the SAC environment.