Tech Data Analyst

About Lamb Weston

You’ve probably enjoyed our fries without even knowing it! As a leading manufacturer in our industry, and public Fortune 500 company, we inspire and bring people together with foods they love and trust. Our customer base includes international food service providers, restaurants, and households in over 100 countries around the world.

A highly innovative global corporation with a start-up mindset, we empower every individual to make a genuine difference. You’ll gain access to hands‑on training to fuel your growth and success, explore opportunities for new solutions, and you’ll join a winning team of 10,000+ people all dedicated to raising the bar – together.

If you have a strong drive for results, a desire to help us bring the world together through our fries, and are ready for a fresh challenge, we want to hear from you.

Title:

Tech Data Analyst

Location:

Eagle,

Job

Requisition
-259735

Time Type:
Full time

We are seeking a Technology Data Analyst with a Business Analyst foundation and deep experience in hybrid data environments, including SAP, to join our Data & Analytics team. This role sits at the intersection of business and technology and is responsible for translating complex business needs into well‑designed data models, analytics solutions, and visualizations that drive decision‑making.

The ideal candidate combines strong analytical and data modeling skills with the ability to lead discovery conversations, challenge assumptions, and partner closely with business stakeholders to solve real business problems.

• Serve as a trusted partner to business stakeholders, leading data discovery sessions to understand business processes, KPIs, pain points, and decision needs.
• Provide leadership by helping stakeholders analyze data to help solve business problems and enabling a data‑driven culture.
• Act as a bridge between business and technical teams, translating business requirements into clear data, modeling and visualization requirements.
• Collaborate with data engineers, business analysts and stakeholders to analyze and create data requirements and translate them into effective data models and visualizations, particularly those involving SAP and other information data sources.
• Design and implement scalable, efficient and maintainable data models to support data warehousing and analytics needs.
• Develop and maintain conceptual, logical and physical data models, ensuring they align with best practices.
• Develop and maintain visualizations which help the business succeed.
• Work closely with ETL developers to ensure proper data flows, particularly from SAP systems.
• Create and maintain documentation for data models, metadata and data lineage, including SAP‑specific data structures.
• Mentor junior analysts and contribute to improving analytics, modeling and documentation standards across the team.
• Stay current with industry trends and best practices in data modeling, visualizations and SAP.

• Bachelor’s degree in computer science, Information Systems, Data Science or a related field or equivalent experience.
• Proven 3+ years’ experience in dimensional modeling with a focus on SAP.
• Candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship, now or ever in the future.
• Strong Business Analyst experience, including:
  • Requirements gathering and documentation
  • Facilitating stakeholder workshops and discovery sessions
  • Translating business needs into technical and analytical solutions
  • Strong expertise in SQL and data warehousing concepts
  • Experience with SAP data structures, particularly in SAP BW, SAP HANA or SAP ECC environments
  • Familiarity with data governance, data quality and data security best practices
  • Strong analytical, visualization, problem‑solving and critical‑thinking skills
  • Proficient in leading data discovery sessions with business subject matter experts
  • Knowledgeable in metadata management
  • Skilled in reverse engineering data models

• Experience with other cloud platforms such as AWS or Azure
• Certification in Snowflake (e.g., Snow Pro) and/or SAP (e.g., SAP Certified…