Analytics Integration Specialist

In this position...Ford Motor Credit Company’s Global Data Insights & Analytics (GDIA) organization is seeking a highly motivated and technically skilled professional to join the Analytics Solutions Integration team within Credit Analytics. This position is ideal for professionals excited about implementing and productionalizing the predictive models for multiple business functions, modernizing legacy processes, and applying advanced technologies to transform analytics delivery.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.You'll have...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.What You’ll Receive in Return…You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:Immediate medical, dental, vision and prescription drug coverageFlexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and moreFamily building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and moreVehicle discount program for employees and family members and management leasesTuition assistanceEstablished and active employee resource groupsPaid time off for individual and team community serviceA generous schedule of paid holidays, including the week between Christmas and New Year’s DayPaid time off and the option to purchase additional vacation time.This position is a salary grade 7 and ranges from $99,600-$166,600. This position is a salary grade 8 and ranges from $115,000-$192,900. Final determination of salary grade will be based on the candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility, and competitive market value.For more information on salary and benefits, click here: Visa sponsorship is not available for this position.Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call View phone number on click.appcast.io.This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid#LI-FordCredit #LI-DH1 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.Full timePosting Date: 2026-07-30