SAP Data Analytics (AI/ML)

LTM Inc
Raritan, NJ, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$90,000.0 - $100,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Data Analysis Computing Platforms Big Data Business Systems Cloud Computing Computer Programming Continuous Integration Information Engineering Data Integration Data Transformation
+22 more
Monitoring of Systems Python (Programming Language) Machine Learning SAP ERP Natural Language Processing SAP (Applications) SAP NetWeaver Data Management SAP Project System Data Streaming Software Organization Enterprise Software Applications Cloud Platform System Prompt Engineering Generative AI Containerization Kubernetes Infrastructure Automation Frameworks Data Analytics Tools for Reporting Software Version Control Data Pipelines Serverless Computing

Requirements

  • 5+ years of experience in data analytics, data engineering, data science, or related technology roles.
  • Strong experience working with large datasets and complex data analysis.
  • Experience designing and maintaining data pipelines, data integration processes, and reporting solutions.
  • Solid understanding of data modeling, data transformation, and data quality management.
  • Experience working with structured and unstructured data sources.

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., Mandatory Skills : AI/Generative AI, Machine Learning Algorithms, Non SAP Solutions, OS Administration for SAP Systems, Prompt Engineering, SAP Basis Advanced Operation, SAP Basis Core, SAP Joule for Consultants (J4C), SAP Performance Management

About the company

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for

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