Tech Data Analyst

Lamb Weston•Eagle Harbor, MI

About The Position

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.

Requirements

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.
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.

Nice To Haves

Experience with other cloud platforms such as AWS or Azure
Certification in Snowflake (e.g. SnowPro) and/or SAP (e.g., SAP Certified Application Associate) is a plus.
Experience with Git and CI/CD pipelines is preferred.
Familiarity with BI tools like SAP BI tools, Power BI or other BI reporting tools
Experience in Agile/Scrum methodologies.

Responsibilities

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.

Benefits

Health Insurance Benefits - Medical, Dental, Vision
Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts
Well-being programs including companywide events and a wellness incentive program
Paid Time Off
Financial Wellness – Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance
Family-Friendly Employee events
Employee Assistance Program services – mental health and other concierge type services

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