Analytics Integration Specialist

Ford Motor • Dearborn, MI

1d • Hybrid

About The 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.

Requirements

• 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.

Nice To Haves

• A Master’s degree.
• Experience integrating or automating processes involving legacy mainframe systems.

Responsibilities

• 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.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level