Business Process Automation Analyst

Presidio, Where Teamwork and Innovation Shape the Future
At Presidio, we're at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI. We empower businesses - and their internal customers - to achieve more through innovation, automation, and intelligent insights.

The Role

As a Business Process Automation Analyst, your primary role is to identify, analyze, and optimize business processes across the organization by leveraging automation technologies, artificial intelligence, and data-driven insights. This entry-level role partners closely with operational teams, IT, and leadership to evaluate current workflows, surface inefficiencies, and design or implement solutions that drive measurable improvements in speed, accuracy, and scalability.

This position is ideal for a technically grounded, analytically curious professional who can bridge the gap between business needs and modern automation and AI tooling. The Analyst will work cross-functionally with internal stakeholders to document processes, build proof-of-concept solutions, and support the deployment of automation and AI-assisted workflows — including those powered by Large Language Models (LLMs) and generative AI. A working understanding of how LLMs function, their strengths and limitations, and how to apply them responsibly in enterprise settings is a core expectation of this role.

Responsibilities Include:

• Evaluate and document existing business processes to identify inefficiencies and automation opportunities
• Design, prototype, and support the implementation of automation solutions using Python scripting, RPA tools, or workflow automation platforms
• Write Python scripts to automate repetitive manual tasks including data extraction, file processing, report generation, and system integrations
• Build and maintain ETL (Extract, Transform, Load) pipelines to support data movement, cleansing, and reporting needs
• Develop and maintain SQL queries, stored procedures, and data models to support analytics and operational reporting
• Use version control (Git) to manage, document, and collaborate on code across projects
• Develop lightweight internal tools, web-based utilities, or scripts to support business teams using Python frameworks (e.g., Flask, Streamlit)
• Collaborate with stakeholders to gather requirements and translate business needs into technical specifications
• Build and maintain dashboards and data visualizations to surface operational insights and track KPIs
• Research and evaluate AI/ML tools and platforms to assess applicability to internal processes and use cases
• Assist in piloting AI-assisted solutions including natural language processing, predictive analytics, and intelligent document processing
• Design and test prompt engineering strategies for LLM-powered workflows, including summarization, classification, extraction, and Q&A use cases
• Integrate LLM APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI) into internal tools, automations, and business workflows
• Evaluate and prototype Retrieval-Augmented Generation (RAG) architectures to ground LLM outputs in internal company data and documentation
• Assess LLM output quality, hallucination risks, and accuracy for business-critical use cases and establish validation approaches
• Stay current on emerging LLM capabilities, open-source models (e.g., LLaMA, Mistral), and enterprise AI platforms to inform tooling recommendations
• Prepare clear and concise reports, presentations, and business cases to communicate findings and recommendations to stakeholders
• Support change management efforts by documenting workflows and training end users on new tools and processes
• Partner with cross-functional teams including Operations, Finance, IT, and Sales to drive process improvement initiatives
• Monitor automated processes post-deployment to ensure accuracy, performance, and reliability
• Maintain project tracking and documentation using internal tools and collaboration platforms

 

Required Skills and Professional Experience:

• Foundational understanding of Large Language Models (LLMs), including how they are trained, how prompting works, and how to apply them to business tasks
• Proficiency in Python for data analysis, automation scripting, and process orchestration — including libraries such as pandas, NumPy, requests, and openpyxl
• Working knowledge of SQL for querying, joining, and transforming data across relational databases
• Experience with ETL concepts and tools (e.g., pandas, SQL, data pipeline frameworks)
• Ability to wri