SAP Data Analytics (AI/ML)

SAP Data Analytics (AI/ML)

Raritan, NJ-Hybrid

Full Time

Salary- $90000/Year- $100000/Year

Must-Have Skills

Data Analytics & Engineering

Programming & Solution Development

• Strong programming skills in one or more modern languages such as Python, Java, or similar.
• Experience developing scalable applications, automation solutions, or data-driven platforms.
• Familiarity with modern software development practices and source control tools.

  Analytics, AI & Machine Learning

• Experience applying machine learning, statistical analysis, or predictive analytics to business problems.
• Understanding of model development, validation, deployment, and monitoring processes.
• Exposure to natural language processing, generative AI, or advanced analytics techniques.
• Experience translating data into actionable business insights.

  Cloud & Platform Technologies

• Experience working with public cloud platforms and cloud-native services.
• Familiarity with infrastructure automation, containerization, and CI/CD practices.
• Experience supporting data, analytics, or AI workloads in cloud environments.

  Reporting & Visualization

• Experience developing dashboards, reports, and business intelligence solutions.
• Ability to communicate technical findings to business audiences through visualizations and presentations.
• Experience defining and measuring operational or business performance metrics.

Business & Stakeholder Engagement

• Experience working with cross-functional teams and business stakeholders.
• Ability to gather requirements and translate them into practical technology solutions.
• Experience managing workstreams, coordinating deliverables, and driving outcomes.
• Strong written and verbal communication skills.

  Good-to-Have Skills

  Enterprise Platforms

• Experience working with enterprise applications and large-scale business systems.
• Exposure to ERP platforms, enterprise data integration, or operational reporting environments.
• Knowledge of enterprise monitoring, automation, or compliance processes.
• SAP data integration, reporting, automation, or analytics experience.

  Advanced Analytics

• Experience with model explainability techniques.
• Knowledge of statistical experimentation and analytical methodologies.
• Exposure to retrieval-augmented generation (RAG), vector databases, or knowledge-based AI solutions.
• Experience with streaming, near real-time, or event-driven analytics architectures.

Financial & Operational Analytics

• Experience in reconciliation, controls, risk analysis, or operational reporting environments.
• Exposure to finance, banking, healthcare, manufacturing, or other large enterprise domains.
• Experience identifying and managing data quality issues, exceptions, and operational risks.

  Automation & Process Optimization

• Experience with workflow automation, robotic process automation, or related technologies.
• Experience improving business processes through automation and analytics.
• Exposure to orchestration platforms and enterprise automation frameworks.

  Leadership

• Experience mentoring team members and supporting technical delivery.
• Exposure to project leadership, stakeholder management, and global team collaboration.