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Analytics Integration Analyst
Job Location:
Monthly Salary:
Posted:
29 August 2026 (3 days ago)
Posted:
Application Deadline:
26 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Description
Responsibilities
Qualifications
Looking for SG6/SG7 candidates- 45 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
- 12 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).
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.
Qualifications
- Bachelors degree in computer science Data Science Information Systems Engineering or related field required.
- Masters 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.
Required Experience:
IC
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