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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # OpEx Data Analyst I - **Company:** Abbott Laboratories - **Location:** Plymouth, MN, United States - **Experience:** Starter - **Salary:** $50,700.0 - $101,300.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Basic Access Authentication, Databases, Data Governance, Data Infrastructure, Data Structures, Database Applications, Cursor (Graphical User Interface Elements), Machine Learning, Operational Data Store, Azure Machine Learning, SAP (Applications), Simple Data Format, Software Engineering, GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Information Technology, Data Analytics, Virtual Agents, GPT, Databricks - **Published:** August 12, 2026 - **Apply:** https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Minnesota---Plymouth/OpEx-Data-Analyst-I_31158893 ## About the Role * Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, AI. Computer Science, AI, software engineering or disciplines including Databases, Mathematics, Statistics, Physics, Machine Learning, Robotics or Engineering. * Minimum 1 year experience with degree; or sufficient transferable experience to demonstrate functional equivalence to a degree * Training using statistical analysis * Basic experience of database application * Basic knowledge of several tools (such as M365 Suite, Copilot, Databricks, SAP, Azure ML, OpenAI, other Generative Pre-trained Transformers (GPT), * Prior experience/education in life sciences or healthcare preferred * Experience building and integrating AI-powered solutions into production applications (including LLM integrations, prompt engineering, stacks, and APIs) * Exposure to agentic AI frameworks such as Databricks, AWS, CrewAI, Agno, or similar AI orchestration frameworks ## Description Support the development of EP's Industry 4.0/AI/Automation foundation by building reliable, standardized data structures and insights that improve visibility into manufacturing and business performance. The role focuses on enabling data-driven productivity across production lines and core processes by supporting data collection, cleaning, integration, and basic pipeline development-while contributing to consistent data definitions, governance, and repeatable analytical workflows. Rather than leading large-scale system deployment, this role helps establish the data backbone and decision logic that determines where digital and AI solutions create measurable value (e.g., GMI improvement, COGS reduction, delivery performance, and NPI scalability). The analyst ensures operational data is accessible, accurate, and actionable, enabling teams to identify inefficiencies, standardize Management Operating System (MOS) execution, and scale best practices across sites and value streams. Data Foundations for Industry 4.0 (Primary Focus) * Supports the collection, cleaning, and structuring of manufacturing and operational data (e.g., throughput, cycle time, downtime, yield). * Build simple, reliable datasets that enable consistent measurement of productivity across sites and value streams. * Assists in establishing standardized data definitions to reduce variation in how metrics (e.g., OEE, lead time, scrap) are calculated and interpreted. * Contributes to defining "how EP works with data" in a standardized way. Data-Driven Productivity Insights * Develops basic reports, dashboards, and visualizations to highlight inefficiencies in production lines and business processes. * Identifies trends, patterns, and anomalies that impact margin (GMI), cost (COGS), delivery performance, and capacity. * Supports root cause analysis by preparing structured datasets for problem-solving teams (e.g., Lean / MOS routines). Industry 4.0/AI/Automation Use Case Identification * Assist senior team members in evaluating where digital, data, or AI solutions could improve productivity. * Build and integrate AI powered solutions, including agentic workflows * Helps document early-stage use cases informing decision logic to deploy at scale. * Leverage AI-assisted development tools (Claude, Codex, Cursor, GitHub Copilot) to accelerate delivery of transformational productivity improvements Pipeline & Data Process Support * Assists in maintaining simple data pipelines and workflows for recurring reporting and analysis. * Supports automation of manual data collection and reporting processes to increase efficiency and reduce errors. Business Collaboration (Operations-Focused) * Works with operations, engineering, and continuous improvement teams to understand process challenges. * Supports MOS (Management Operating System) routines with accurate and timely data. Governance, Security & Compliance * Assists in applying data governance standards, including basic access controls and documentation. * Supports compliance with relevant frameworks (ISO 27001, ISO 42001, ISO 8000, etc.) as defined by the organization. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)