Sr Data Quality Analyst

Lamb WestonEagle, ID
1d

About The Position

Lamb Weston is continuing to modernize its enterprise data ecosystem to support high-quality analytics, reporting, and decision-making across the business. As part of this transformation, the Sr Data Quality Analyst plays a critical role in ensuring enterprise data is accurate, consistent, reliable, and fit for purpose. This role combines strong technical data analysis skills with business analysis capabilities and hands-on experience driving data quality initiatives. The individual will work closely with data engineering, data governance, SAP, and business stakeholders to profile data, define quality rules, monitor quality metrics, and resolve data issues at their source. SAP experience is highly valued, as this role will support data quality across SAP master and transactional data domains integrated into Snowflake and downstream analytics platforms.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent experience.
  • 5+ years of experience in data analysis, data quality, or analytics engineering roles.
  • Strong SQL skills and experience working with large, complex datasets.
  • Demonstrated experience with data profiling, data validation, and data quality frameworks.
  • Business Analyst skills, including requirements gathering, documentation, and stakeholder facilitation.
  • Experience working in SAP data environments (ECC, S/4HANA, BW, or HANA).
  • Understanding of data governance, metadata, and lineage concepts.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work collaboratively in cross-functional teams.
  • Ability to travel up to 10 percent.

Nice To Haves

  • Familiarity with cloud data platforms such as Snowflake and AWS preferred.
  • Experience supporting Master Data domains such as Customer, Vendor, Material, or Finance.
  • Experience with data quality or governance tools.
  • Familiarity with Agile delivery methodologies.
  • Passion for learning new technologies and continuously improving data quality practices

Responsibilities

  • Design, implement, and maintain data quality rules, checks, and controls across enterprise data assets.
  • Perform data profiling, root cause analysis, and anomaly detection across SAP and non-SAP data sources.
  • Partner with business stakeholders to understand data quality issues, business impacts, and remediation priorities.
  • Translate business requirements into measurable data quality rules and thresholds.
  • Support ongoing data quality monitoring, scorecards, and reporting for key data domains.
  • Collaborate with data engineers to embed data quality controls into ETL and data pipelines.
  • Analyze data discrepancies and ensure reconciliation back to systems of record.
  • Support issue management workflows, including defect tracking, prioritization, and resolution validation.
  • Contribute to documentation of data quality standards, rules, and operational procedures.
  • Assist in user acceptance testing and quality assurance for new or enhanced data assets.
  • Provide input and feedback to improve enterprise data quality processes and tooling.

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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