Senior SAP Data & Analytics Analyst — Hybrid Cloud Data Lake

Tandym-Group; Parsippany-Troy Hills (NJ); Hybrid; USD 96,000 - 110,000; Part time

Job summary

Tandym-Group in Parsippany, NJ is seeking a Sr SAP Business Data Analyst to elicit business needs, document requirements, and partner with analytics and data teams to support cloud data lake capabilities and data-driven solutions.

This role offers a hybrid schedule (4 days onsite) with a focus on delivering clear specifications, data modeling, and process improvements across SAP datasets like sales, purchasing, and inventory management.

Qualifications

• 10+ years of IT experience.
• 5-7 years of SAP techno-functional experience with knowledge of SAP datasets (sales, purchasing, inventory management, and IBP).
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Experience with SDLC and Agile/Scrum methodologies, including backlog management, sprint reviews, user stories, and acceptance criteria.

Responsibilities

• Gather, analyze, and document business requirements, user stories, and acceptance criteria for data and analytics initiatives.
• Assess current-state processes and develop future-state workflows, operating models, and business process improvements.
• Partner with data engineering and business stakeholders to identify gaps, define solutions, and translate needs into clear functional specifications.
• Create process flows, use cases, swim lane diagrams, and other documentation to support system and data design.
• Support project planning, backlog management, sprint reviews, and user acceptance testing to help ensure successful delivery.

Skills

Verbal communication

Written communication

Collaboration

Planning

Time management

Meeting facilitation

Relationship management

Attention to detail

Education

Bachelor's degree in Computer Science, Information Systems, or a related field

Tools

Jira

Google Cloud Platform

SAP

Job description

Tandym-Group in Parsippany, NJ is seeking a Sr SAP Business Data Analyst to elicit business needs, document requirements, and partner with analytics and data teams to support cloud data lake capabilities and data-driven solutions.

This role offers a hybrid schedule (4 days onsite) with a focus on delivering clear specifications, data modeling, and process improvements across SAP datasets like sales, purchasing, and inventory management.