Analytics Migration Engineer

OneMagnify • Dearborn, MI

6d

About The Position

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets. In this role, you will lead the migration and modernization of analytical code, data pipelines, and statistical models from legacy on-premise environments to modern cloud platforms (GCP). You will ensure analytical continuity by validating that migrated code, data outputs, and AI/ML models perform consistently and accurately across environments. You will work across data engineering, analytics, and data science teams to maintain business-critical reporting and modeling while enabling a scalable cloud-based analytics ecosystem. This role blends migration execution, validation, and optimization to ensure analytical solutions remain reliable, performant, and future-ready.

Requirements

• Bachelor’s Degree in a quantitative or technical field such as Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline.
• Experience working with analytical programming languages such as SAS 9.4, SAS Viya, Python, and SQL.
• Experience working with cloud data platforms (e.g., GCP, AWS, Azure) or supporting migration from on-prem to cloud environments.
• Experience validating data outputs, dashboards, and statistical or machine learning models.
• Strong understanding of data structures, ETL processes, and analytical workflows.
• Experience troubleshooting data discrepancies and performing root cause analysis.
• Ability to work across cross-functional teams including data engineering, analytics, and business stakeholders.
• Strong attention to detail and commitment to data accuracy and quality.

Nice To Haves

• Experience migrating SAS-based analytical environments to cloud platforms.
• Experience validating and deploying machine learning models in cloud environments (e.g., Vertex AI).
• Experience with automated testing frameworks for data and analytics.
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Cloud Composer).
• Experience optimizing analytical code and queries for performance and scalability in cloud environments.
• Experience supporting large-scale analytics or CRM data ecosystems.
• Strong documentation and process design skills to support repeatable migration frameworks.
• Ability to translate technical findings into clear insights and recommendations for non-technical stakeholders.
• Experience working in large enterprise or highly regulated data environments.
• Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

Responsibilities

• Migrate legacy analytical code (e.g., SAS, SQL, Python) from on-prem environments to cloud platforms such as Google Cloud Platform (GCP).
• Translate and refactor legacy data pipelines and analytical workflows to align with modern cloud-based architectures and best practices.
• Validate and reconcile outputs between legacy and cloud environments to ensure consistency and accuracy of data, reporting, and model results.
• Perform regression testing and quality assurance across datasets, dashboards, and statistical models to confirm functional parity post-migration.
• Support migration and re-platforming of AI/ML and statistical models, ensuring performance and output consistency.
• Troubleshoot and resolve discrepancies in data, code logic, and model performance across environments.
• Partner with data engineering, analytics, and business teams to maintain continuity of business-critical reporting and insights during migration.
• Develop automated testing, monitoring, and validation processes to ensure long-term data and model integrity.
• Document migration processes, code changes, validation results, and best practices to support ongoing modernization efforts.
• Contribute to optimization and performance tuning of analytics workflows in cloud environments.

Benefits

• We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

What This Job Offers

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