Analytics Integration Analyst

Analytics Integration Analyst

• 
  Looking for SG6/SG7 candidates
• 4–5 years programming experience in SAS (preferably "SAS RealTime Decision Manager") SQL, and Python, with experience in object-oriented and procedural paradigms.
• Experience with Relational Database Management Systems 
• Gen AI tooling -( LLM) Workflows & Cloud integration
• 1–2 years hands-on experience with Google Cloud Platform (GCP) including BigQuery, PostgreSQL, Cloud Storage, Cloud Functions, etc. Familiarity with Waterfall, Agile and PDO methodologies
• Experience working with IT testing environments, regression testing, and automated validation.
• Experience integrating or automating processes involving mainframe legacy systems (preferred).

• 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.

• Bachelor’s degree in computer science, Data Science, Information Systems, Engineering, or related field required.
• Master’s degree preferred.
• Strong analytical, critical thinking, and problem-solving abilities.
• Ability to learn new tools and technologies quickly.
• Excellent interpersonal and communication skills.
• Ability to work independently with minimal supervision.
• Proactive, curious, and willing to ask questions to uncover opportunities.
• Commitment to building efficient, scalable, and high-quality analytics solutions.

Experience Level

Mid Level