Senior Data Quality Specialist

Schreiber FoodsGreen Bay, WI
Onsite

About The Position

The Senior Data Quality Specialist is responsible for ensuring the accuracy, completeness, consistency, and reliability of enterprise data used for reporting, analytics, and operational decision‑making. This role partners closely with business, IT, and analytics teams to define data quality standards, monitor data health, and drive root‑cause resolution of data issues. This role plays a key role in strengthening data governance, improving business confidence in data, and enabling scalable, high‑quality data usage across the organization.

Requirements

  • Bachelor’s degree in Data Analytics, Information Systems, Business, Data Science, Finance, Accounting, or a related field.
  • 3–6 years of experience in data quality, data analysis, reporting, or data management roles.
  • Strong understanding of data quality dimensions and controls.
  • Experience working with large datasets and multiple data sources.
  • Strong analytical, problem‑solving, and root‑cause analysis skills.
  • Ability to communicate data issues clearly to both technical and non‑technical stakeholders.
  • Valid driver's license, auto insurance (at least state minimum- more might be required), acceptable driving record per Schreiber Foods discretion, and vehicle that will ensure applicant can meet the travel necessities of the position are required.
  • Employee must have authorization to work in the country in which the role is based.
  • Schreiber will determine, in its sole discretion, whether to sponsor an individual for work authorization.

Responsibilities

  • Define, implement, and monitor data quality rules, metrics, and controls across key data domains (e.g., customer, vendor, finance, master data).
  • Perform ongoing data profiling, validation, and exception analysis to identify data quality issues.
  • Track and report on data quality KPIs such as accuracy, completeness, timeliness, and consistency.
  • Maintain data quality dashboards and issue logs to support transparency and accountability.
  • Document and maintain end‑to‑end data lineage for critical finance and operational data elements, from source systems through transformations to downstream reports, dashboards, and analytics.
  • Analyze how, where, and by whom data is consumed (reports, KPIs, models, extracts) to identify high‑impact data elements and prioritize data quality controls accordingly.
  • Partner with Finance, Analytics, and IT teams to assess the business impact of data quality issues based on downstream usage and decision criticality.
  • Support impact analysis for data changes by identifying upstream and downstream dependencies and communicating risks to stakeholders.
  • Contribute to data governance efforts by aligning lineage and consumption insights to data ownership, stewardship, and quality standards.
  • Investigate data quality issues to identify root causes, including upstream process, system, or integration failures.
  • Partner with business process owners and IT to design and implement corrective and preventive actions.
  • Validate fixes and ensure sustainable resolution of recurring data issues.
  • Support prioritization of data quality remediation efforts based on business impact and risk.
  • Support the development and enforcement of data governance policies, standards, and definitions.
  • Collaborate with data owners and data stewards to ensure consistent data definitions and usage.
  • Contribute to data documentation, including business glossaries, data dictionaries, and process flows.
  • Promote best practices in data management and data stewardship across the organization.
  • Act as a liaison between business users, analytics teams, and IT to ensure data is fit for purpose.
  • Support reporting, analytics, and automation initiatives by ensuring high‑quality underlying data.
  • Educate stakeholders on data quality concepts, impacts, and responsibilities.
  • Provide insights and recommendations to improve data reliability and decision‑making.

Benefits

  • Employee Stock Ownership Plan (ESOP)
  • 8% 401(k) match into the ESOP
  • Company contribution of about 8% of earnings toward retirement annually
  • Incentive pay twice a year
  • $10,000 relocation bonus PLUS a generous relocation package if relocating more than 50 miles for a U.S. Salaried position
  • Up to $5,000 annually to help with the cost of childcare
  • Wellness Incentive
  • Employer-funded Lifestyle Spending Account (LSA) to use on fitness, mental health, and other lifestyle expenses.
  • Tuition reimbursement
  • Medical, prescription drug, dental and vision benefits starting day one
  • Onsite nurse
  • Mental health counselor
  • Partners Helping Partners program
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