AI & Automation Junior Analyst

The Jr. AI & Automation Analyst supports the design, development, and maintenance of AI- and automation-driven solutions that improve operational efficiency, data quality, and decision-making across the organization. This role works cross-functionally to analyze business processes, identify automation opportunities, build and test solutions (such as RPA bots, low-code workflows, and AI agents), and monitor workflow performance. The Jr. AI & Automation Analyst collaborates closely with business stakeholders, IT, and data teams to ensure solutions are aligned with business requirements, secure, and scalable. What Success Looks Like (3 Core Outcomes) Develop process automation and AI-enabled workflows that demonstrably improve employee efficiency. Facilitate continuous improvement through process mining and data driven decision-making. Overcome technical and procedural obstacles through creativity, collaboration, and critical thinking. Essential Duties and Responsibilities Assist in identifying and documenting business processes that are suitable for automation or AI augmentation through stakeholder interviews, process mapping, and data analysis. Support the design, configuration, and testing of automation workflows using tools such as RPA platforms (e.g., UiPath, Power Automate, Automation Anywhere) and low-code/no-code tools. Help develop and maintain AI-enabled features (e.g., classification, routing, NLP, database semantic layer) under the supervision of senior team members. Participate in requirements gathering sessions and translate business needs into functional and technical specifications for AI and automation solutions. Build and maintain process documentation, including process maps, solution design documents, test cases, and user guides. Execute unit, integration, and user acceptance testing (UAT) for new or updated automations, AI prompts and outputs; log defects and assist in troubleshooting and resolution. Monitor the performance of deployed automations and AI models, track key metrics (e.g., throughput, error rates, exceptions), and elevate issues as needed. Assist in maintaining automation queues, exception handling procedures, and schedules to ensure stable operations. Support change management activities, including training end users, preparing communication materials, and providing post-deployment support. Collaborate with IT and security teams to ensure solutions comply with data privacy, security, and governance standards. Stay current with emerging AI, automation, and analytics tools and best practices; share insights and recommendations with the team. Perform other related duties as assigned to support the team’s function and broader business objectives. Education Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Business Analytics, or a related field; or equivalent combination of education and relevant experience. Coursework or certifications in AI, machine learning, data analytics, or process automation preferred (e.g., RPA vendor certifications, Microsoft Power Platform, introductory ML/AI courses). Skills and Experience 0–2 years of experience in a data, business analysis, automation, or related technical role (internships, co-ops, or academic projects acceptable). Basic understanding of AI and automation concepts, such as RPA, machine learning, natural language processing, RAG, and workflow automation. Experience with AI platforms (e.g., ChatGPT, Claude), AI tools, and prompt engineering techniques. Exposure to automation or low-code tools (e.g., UiPath, Power Automate, Power Apps, Zapier, n8n, or similar) is strongly preferred. Experience with data analysis and visualization tools (e.g., Excel, Power BI, Tableau, AWS Quick, or similar) is a plus. Ability to read and interpret process documentation, business requirements, and technical specifications. Strong analytical and problem-solving skills with attention to detail and accuracy. Effective written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders. Demonstrated ability to work collaboratively in a team environment and manage multiple tasks with supervision. Familiarity with software development lifecycle (SDLC), agile methodologies, or project management practices is beneficial. Equal Employment Opportunity Statement United Wheels Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are dedicated to building a workplace where people from all walks of life feel seen, supported, and empowered to do their best work. We welcome applicants from all backgrounds, identities, and experiences, and we encourage you to bring your full, authentic self to work. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status or any other protected characteristic. #J-18808-Ljbffr United Wheels Inc.