SASDatamart Developer

Data Management & Analytics Developer

Business Data & Analytics

Role Summary

We are seeking aDMA Developerto support and evolve enterprise data assets that underpin revenue sales analytics and executive reporting. This role focuses onhandson developmentdata transformation andproduction supportacross SAS (9.x & Viya 4) and Oracle platforms.

The ideal candidate is a strong individual contributor who is comfortable working inrulesdriven auditsensitive environments partnering with senior developers analysts and business stakeholders to ensure data accuracy reliability and usability.

Key Responsibilities

Data Engineering & Development

• Design develop and maintainSAS (9 and Viya) and Oracle SQLlogic supporting data pipelines transformations and curated data assets.
• Build and maintainreporting tablesaligned to defined KPIs and business rules.
• Develop and enhanceOracle views packages procedures and validation logicused across analytics and downstream integrations.
• Support SASbased ETL/ELT workflows that integrate data from Orion GIDB EDW operational systems and external sources.

Data Quality Validation & Audit Support

• Implementdata quality checks reconciliation logic and validation controlsto ensure reporting accuracy.
• Support historical traceability and reproducibility of results for finance sales and audit use cases.
• Diagnose and remediate data issues raised by downstream consumers (Finance Sales Ops).

Integration & Change Management

• Adapt SAS and Oracle logic to upstream data changes from platforms such as EDW PDH and thirdparty sources.
• Implement defensive logic when upstream data is incomplete inconsistent or delayed.
• Partner with senior team members during release cycles to ensure integration stability.

Production & Operational Support

• Support scheduled releases including prerelease validation production troubleshooting and postdeployment fixes.
• Investigate job failures performance bottlenecks and data inconsistencies.
• Contribute to operational improvements that reduce rework technical debt and manual intervention.

Collaboration & Documentation

• Work closely with data engineers analysts and business partners to clarify requirements and data definitions.
• Maintain technical documentation metadata and business logic descriptions.
• Work in an Agile environment using Jira.
• UseGitHub and VS Codeto manage source control code reviews and collaborative development.

Required Technical Skills

• Strong experience withSAS 9 and/or SAS Viyadevelopment in enterprise data environments.
• AdvancedOracle SQLexperience including views procedures packages and performance optimization.
• Strong understanding of implementingbusiness rules in data logic.
• Experience supportingproduction data systemswith regular release cycles.
• Practical experience usingVS Code and GitHubfor source control and team development.

Preferred / NicetoHave

• Exposure torevenue pipeline sales credit or financial reportingdata.
• Familiarity withaudit or compliancedriven data environments.
• Experience modernizing or refactoring legacy SAS or Oracle codebases.
• Knowledge of data lineage historical tracking or slowly changing dimensions.
• Exposure to AIassisted development tools (e.g. Copilot or similar).

What Success Looks Like in This Role

• You become productive quickly in an established SAS and Oracle codebase.
• You independently own welldefined development and support work reducing strain on senior engineers.
• You improve data reliability performance and confidence without redesigning the platform.
• You collaborate effectively ask the right questions and deliver accurate reliable solutions in a complex environment.

Team & Environment

• Part of theBusiness Data & Analytics (DMA)organization supporting multiple enterprise stakeholders.
• Highly collaborative team of data engineers analysts and business partners.
• Strong emphasis ondata accuracy auditability and operational reliabilitythroughout the development life cycle.