Sr. SAP Technology Data Analyst

Posted:
10/24/2024, 5:00:00 PM

Location(s):
Idaho, United States ⋅ Eagle, Idaho, United States ⋅ Washington, United States ⋅ Kennewick, Washington, United States

Experience Level(s):
Senior

Field(s):
Data & Analytics

Workplace Type:
Hybrid

Title: Sr. SAP Technology Data Analyst

               

Location: Eagle, ID

               

About Lamb Weston

We love making fries almost as much as you like eating them! Since the 1950’s, Lamb Weston has inspired customers with food they love, trust, and share with families and friends. As a leading global manufacturer of quality frozen potato products with over 10,000+ team members around the world, it’s our business to see the possibilities in potatoes and people.

We are looking for team members with an appetite for a challenge! People who are hungry to join a winning team and help us make a difference in the world. When you join Lamb Weston, you join a community with a strong support network and training programs designed to nurture, inspire, and help you grow.

We are driven by a relentless pursuit of results and by people who think creatively and embrace our values of: Integrity, Teamwork, Inclusion, Drive for Results, and Empowerment. Exactly what you’d expect from the most inventive potato company in the world!

Join Lamb Weston! We bring the world together with our fries.

Job Description Summary

               

We are seeking a highly skilled Data Analyst and Modeler with a strong background in hybrid environment including SAP to join our Data & Analytics team. The candidate will be responsible for designing, developing, and optimizing data models to support our data analytics and business intelligence needs. This role requires a deep understanding of data modeling concepts, SQL, cloud-based data warehouse technologies, and a solid understanding of SAP data structures.

Job Description

  • Provide leadership by example helping stakeholders analyze data to help solve business problems.
  • Collaborate with data engineers, business analysts, and stakeholders to analyze and create data requirements and translate them into effective data models, particularly those involving SAP and other information data sources.
  • Design and implement scalable, efficient, and maintainable Snowflake data models to support data warehousing and analytics needs.
  • Develop and maintain conceptual, logical, and physical data models, ensuring they align with both Snowflake best practices and SAP data structures.
  • Optimize and tune Snowflake data models for performance, scalability, and cost-effectiveness.
  • Work closely with ETL developers to ensure proper data flows into the Snowflake environment, particularly from SAP systems.
  • Create and maintain documentation for data models, metadata, and data lineage, including SAP-specific data structures.
  • Stay current with industry trends and best practices in data modeling, Snowflake, and SAP.

    Basic & Preferred Qualifications

    Qualifications:

    • Bachelor’s degree in computer science, Information Systems, Data Science, or a related field or equivalent experience.
    • Proven 5+ years’ experience in dimensional modeling, with a focus on SAP, Snowflake and cloud-based data warehousing.
    • 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, 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.

    Preferred Skills:

    • 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 Power BI, or Tableau.
    • Experience in Agile/Scrum methodologies.

    Industry-Competitive Benefits

    Coupled with our compensation and bonus incentive programs, our benefits deliver rewards that are market competitive.  Some of the most attractive elements of our benefit programs include:

    • 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

    Benefits may vary based on location, job role/level, job status, and/or the terms of any applicable collective bargaining agreements.

                   

    Job Requisition ID: Req-255623

                   

    Time Type: Full time

                   

    Anticipated Close Date: 11/03/2024

                   

    In compliance with applicable state and local laws, Lamb Weston has opted to include a reasonable estimate of the compensation for this role. This compensation is specific to this position and takes into account a number of variables. Actual compensation may be higher or lower in the range posted based on various factors, including, but not limited to, job duties, experience and expertise. A candidate’s work location could also impact the actual compensation being outside of the range to reflect local cost of labor. A reasonable annual estimate of the range for this role based on the variables previously mentioned is: $81,620.00 - $122,430.00

                   

    Lamb Weston is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status or any other protected factor under federal, state or local law