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AI & Automation Junior Analyst
Job Title: Jr. AI & Automation Analyst
Department: IT
Supervisor: AI & Data Solutions Manager
FLSA Status: Exempt
Location: Miamisburg, Ohio
Summary
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 escalate 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.
- Foundational skills in at least one programming or scripting language (e.g., Python, JavaScript, SQL, or similar).
- 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.
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