> Markdown version of [/jobs/ext/1922270-analytics-integration-specialist](https://www.wearedevelopers.com/jobs/ext/1922270-analytics-integration-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Integration Specialist - **Company:** Ford Motor Company - **Location:** Dearborn, MI, United States - **Experience:** Starter - **Salary:** $99,600.0 - $166,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Airflow, Data Analysis, BigQuery, Software as a Service, Cloud Storage, Information Systems, IBM DB2, Relational Databases, Job Control Language (JCL), Python (Programming Language), PostgreSQL, Object-Oriented Software Development, SAS (Software), Software Deployment, SQL Databases, Systems Integration, Virtual Storage Access Methods, Delivery Pipeline, Large Language Models, Information Technology, Google Cloud Functions, Virtual Agents, Cloud Integration - **Published:** August 4, 2026 - **Apply:** https://www.juju.com/job/00000000glkfwf ## About the Role + Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field. + 4+ years of experience in SAS (SAS RTDM preferred), Java, SQL, and Python (OOP and procedural). + 1-2 years of hands-on GCP experience (BigQuery, PostgreSQL, Cloud Storage/Functions) and experience with RDBMS (e.g., DB2). + Strong understanding of modern automation frameworks and Gen AI tooling (Agentic AI, workflows, and cloud integration). + Familiarity with Agile/Waterfall/PDO methodologies and experience with IT testing environments (regression and automated validation). + Strong analytical, communication, and independent problem-solving skills, with a proactive, curious mindset and a quick capacity to learn. Even better, you'll have... + A Master's degree. + Experience integrating or automating processes involving legacy mainframe systems. ## Description In this role, you will bridge the gap between analytical model development and production deployment, using SAS, Vendor tools on OnPrem and Cloud-based applications. You will also be a key contributor in modernizing legacy mainframe-based batch testing processes through automation, dataset comparison frameworks, and summarization/reporting of the data and application of Agentic frameworks. This is a dynamic opportunity for someone who enjoys innovation, problem-solving, and leveraging advanced technologies to streamline and accelerate real-world business processes. What You'll Do... + Implement, validate, test, and Productionalize predictive models and risk strategies across global platforms. + Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production. + Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets. + Develop reusable and repeatable automation for compare and summarize data between legacy and modernized systems for multiple business functions. + Use GCP services such as BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run and Pub/Sub to build scalable workflows that support analytics delivery. + Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results. + Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and develop Proof-of-Concepts, and enhance delivery processes through automation. + Provide data analysis, SQL/SAS/Python programming, and on-demand reporting aligned to business needs. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. 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