Analytics Engineer/GCP/Bigquery/Chicago Local

About the role

The Analytics Migration Engineer will lead the migration and modernization of analytical code, data pipelines, and statistical models from legacy on-premise environments to Google Cloud Platform (GCP), ensuring analytical continuity as outputs, data, and AI/ML models are validated across environments.

Responsibilities

• Work across data engineering, analytics, and data science teams to maintain business-critical reporting and modeling while enabling a scalable, cloud-based analytics ecosystem.
• Bleed migration execution, validation, and optimization, giving you the chance to help shape a modern, future-ready analytics environment.
• Migrate legacy analytical code (SAS, SQL, Python) and data pipelines from on-prem environments to GCP, refactoring workflows for modern cloud architecture and best practices.
• Validate and reconcile outputs between legacy and cloud environments to ensure consistency and accuracy across data, reporting, and models.
• Perform regression testing and quality assurance across datasets, dashboards, and statistical/ML models to confirm functional parity post-migration.
• Support migration and re-platforming of AI/ML and statistical models, troubleshooting discrepancies in data, code logic, and performance.
• Partner with data engineering, analytics, and business teams to maintain continuity of business-critical reporting during migration.
• Build automated testing, monitoring, and validation processes to ensure long-term data and model integrity.
• Document migration processes, code changes, and best practices, and contribute to ongoing optimization of analytics workflows in the cloud.

Requirements

• Bachelor's Degree in a quantitative or technical field (Computer Science, Data Science, Statistics, Mathematics, Engineering, or related)
• Experience with analytical programming languages such as SAS 9.4, SAS Viya, Python, and SQL
• Experience with cloud data platforms (GCP, AWS, or Azure) or supporting on-prem to cloud migrations
• Experience with BigQuery
• 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
• Experience migrating SAS-based analytical environments to cloud platforms
• Experience validating and deploying machine learning models in cloud environments (e.g., Vertex AI)
• Familiarity with automated testing frameworks and data pipeline orchestration tools (e.g., Airflow, Cloud Composer)
• Experience optimizing analytical code and queries for performance and scalability in the cloud
• 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 for non-technical stakeholders
• Experience in large enterprise or highly regulated data environments

Qualifications

• Not specified

Skills

• Not specified

Benefits

• Medical, Dental, and Vision Insurance
• Vacation Time
• Stock Options

Pay

• $125k - $140k

Schedule

• Hybrid