Business Process Automation Analyst

Presidio

4h

About The Position

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.

Requirements

• 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 write and maintain clean, documented, and version-controlled code using Git
• Comfort working with REST APIs and JSON/XML data formats to integrate systems and automate data flows
• Strong working knowledge of Microsoft Excel (pivot tables, formulas, data modeling) and Microsoft Office Suite (PowerPoint, Word, Outlook)
• Ability to work collaboratively across cross-functional teams and communicate technical concepts to non-technical audiences
• Strong analytical and problem-solving skills with high attention to detail
• Effective time management and organizational skills with the ability to manage multiple priorities
• Curiosity and self-motivation to stay current on automation and AI trends and technologies

Nice To Haves

• Hands-on experience working with LLM APIs such as OpenAI GPT-4/o, Anthropic Claude, Google Gemini, or Azure OpenAI Service
• Familiarity with prompt engineering techniques including chain-of-thought, few-shot prompting, and structured output generation
• Exposure to RAG (Retrieval-Augmented Generation) patterns and vector database tools such as Pinecone, Chroma, or Azure AI Search
• Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel
• Awareness of AI governance concepts including responsible AI, bias mitigation, and data privacy considerations when deploying LLMs
• Familiarity with data visualization platforms such as Power BI, Tableau, or Looker
• Experience with JavaScript or other scripting languages for front-end tooling or workflow automation
• Knowledge of scheduling and orchestration tools such as Apache Airflow, Prefect, or Windows Task Scheduler for running automated pipelines
• Exposure to cloud-based development environments and serverless computing (e.g., Azure Functions, AWS Lambda)
• Understanding of basic software development practices: unit testing, code review, and documentation standards
• Exposure to AI/ML concepts and tools (e.g., OpenAI APIs, Azure AI, or similar platforms)
• Experience with RPA tools such as UiPath, Power Automate, or Automation Anywhere
• Knowledge of workflow automation platforms (e.g., Zapier, Make, or similar)
• Familiarity with cloud data environments (Azure, AWS, or Google Cloud)
• Experience working with APIs and integrating data across systems
• Understanding of business operations in a technology services or solutions environment
• 0–2 years of relevant experience in a business analysis, data, or automation-focused role; internship or project experience considered

Responsibilities

• 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

Benefits

• Presidio is committed to hiring the most qualified candidates to join our amazing culture.
• We aim to attract and hire top talent from all backgrounds, including underrepresented and marginalized communities.
• We encourage women, people of color, people with disabilities, and veterans to apply for open roles at Presidio.
• Diversity of skills and thought is a key component to our business success.
• Presidio has a strong commitment to the community we serve and our employees.
• As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve.
• Presidio is an Equal Opportunity Employer Disability/Vets.
• Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed