Design and implement advanced SharePoint solutions, collaborate with cross-functional teams to gather requirements, maintain SharePoint portals and workflows, and troubleshoot issues to ensure optimal operation and user satisfaction.

Role Description Data Systems Analysts, Inc. (DSA) is seeking a Power Platform Developer to join a high-performing team supporting an Army customer. This position requires a DOD Secret Clearance. This Power Platform Developer will work as part of a team that develops and delivers Power Apps, Power Automate, Power BI, and data visualization solutions to the government customer. This role provides Power Platform Developer support to a dynamic organization supporting the Army. The government customer team works in partnership with the DSA team and subcontractors to provide a cohesive support model to a varied customer base. Team members are respected and recognized for their role on the team. There is potential for professional development and career growth for motivated candidates. Qualifications - Active Secret Clearance - Customer engagement experience, ability to develop relationships and understand customer needs - 3-5 years Power Apps development and delivery experience - 1-5 years of Power Automate experience focusing on business process automation - Advanced SharePoint Online (SPO) experience with proven understanding of how SharePoint fits into the ecosystem of M365 - Foundational knowledge (with some experience) in Power Pages, Dataverse, Premium Capacities - Understanding of UX/UI principles - Intermediate to Advanced experience and understanding of Microsoft 365 suite of tools - Excellent communication and collaboration abilities - Ability to complete tasks with little to no supervision - COMPTIA Security + certification (Certification preferred upon hire but must be acquired within 90 days for otherwise well qualified candidate) - Computing Environment (CE) relative to the position (EX: Microsoft Power Platform 100, 200, or 400 other related certifications can be considered) - Certification preferred upon hire but can be acquired within 90 days for otherwise well qualified candidate) Requirements - Experience building model driven applications in Power Apps - Data Architecture experience - Experience supporting and interacting with Senior Leaders or Executive level - Understanding of Power BI Premium Workspaces - Ability to work with ambiguous and/or limited requirements - Self-motivated, detail-oriented, flexible, and receptive to constructive feedback - PowerBI Development experience - Understanding of data visualization solutions and data modeling Key Responsibilities - Support development and delivery of data visualizations, Power Apps, Power BI, and Power Automate solutions - Direct engagement with customers to define project requirements and manage customer expectations - Design, build, and maintain model-driven/canvas Power Apps to support and enhance program and organization operations - Design and maintain automated workflows and business process integrations using Power Automate to enhance organizational efficiency and connectivity - Author and contribute to technical documentation - Author and deliver reference and training resources - Customer engagement - Requirements, definition, and documentation - User acceptance testing (UAT) - Manage project details and schedule and provide project status updates

• Affirm is reinventing credit to make it more honest and friendly. • Build systems that power Affirm’s mission. • Enable new ways to pay and ensure platforms can scale to demanding levels. • Develop seamless servicing experiences and solve complex problems through exceptional engineering. • Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. • Own multiple artifacts that manage the end-to-end flows for features including feature creation, exploration, and serving.

• Affirm is reinventing credit to make it more honest and friendly • Build a delightful, self-serve platform for developing and serving data for machine learning and decisioning. • Direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams • Own multiple artifacts that in aggregate own the end-to-end flows for features including feature creation, exploration, and serving