Data Quality Analyst III

Category/Area of Expertise: Data-Science & Analytics
Job Requisition: 444644
Address: USA-MA-Quincy-1385 Hancock Street
Store Code: Services (5120810)

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Position Summary

The Data Quality Analyst will serve as a critical link between operational teams, IT, product management, and the Data & Analytics group. This role is responsible for the full data integrity lifecycle, including monitoring data pipelines across Fiona (data lake), Databricks, Alteryx outputs, and ensuring accuracy in Power BI reporting and dashboards. The analyst will be required to have extensive advanced analytical skills, root cause analysis, understanding of technology stacks and data modeling.

Working closely with the Data Quality Manager, this analyst will assist with user acceptance testing (UAT), collaborating with Product Managers, Business Analysts, and other stakeholders to execute end-to-end testing before Fiona table or Power BI dashboard launches. The analyst will also be embedded within product management squads to support UAT, perform data profiling, and implement SQL-based alerting to proactively detect and resolve data quality issues. The Data Quality analyst will also support various commercial & supply chain teams with internal audits and Azure AD groups for role level security enablement.

Success in this role requires a strong understanding of agile methodologies, advanced analytical skills, and the ability independently quickly identify and resolve data issues. This role is critical role pass all quality testing, asset certification and alerting setups prior to data models going live to the organization.

Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days.

Applicants must be currently authorized to work in the United States on a full-time basis.

Principle Duties & Responsibilities

• Create and implement data pipeline monitoring within data quality tool by leveraging SQL code to enable data quality processes across all Commercial and Supply Chain datasets
• Enable end to end user testing environment that will be spread across functional commercial & supply chain teams to ensure data quality/integrity prior to datalake table or Power Bi reporting go live.
• Partners with Product Management to own, create and execute business unit and use cases for testing master tables to call out potential issues with the data model or the source system
• Accountable for conducting data quality checks on critical KPI's and remediating data in partnership with the business
• Independently identify and solution gaps within the Commercial & Supply Chain Domain within Datalake and Purview by doing monthly audits to ensure integrity (i.e. Missing business terms in the Commercial& Supply Chain Domain)
• Leverage data profiling tooling or any other tool implemented to support data quality by setting up SQL codes by table to identify data issues within source systems and Datalake tables. Based on results the analyst would be required to open the appropriate ticket to resolve or submit small business enhancement to get the source system corrected.
• Primary contact for submitting incident data issues for Commercial and Supply Chain (ie. Leveraging service now) and tooling issues (ie. Power Bi, Alteryx, Databricks) along with owning and testing the resolutions
• Establish Root Cause Analysis for data integrity issues, create proposals on how to fix the issues to strategically tackle consistent data pipeline issues partnering with IT. The role would be responsible for owning the solution through completion
• Provides support to the data quality manager to drive cross-functional teams comprised of both business roles and IT during the life cycle of data quality issue
• Deep dive data issues for third party data (ie. Circana) leveraging various tools such as databricks (SQL, Python, PySpark), ADF, and/or alteryx to provide insights on the issue along with proposing a solution

• Bachelor's degree in business, economics, engineering, math, statistics, or other quantitatively oriented major or equivalent combination of education and related work experience bachelor's in business; MBA or MS in Industrial Engineering, Operations Research or similar discipline preferred or Relevant skills at expert level of competency
• 3-5 years experience
• Analytics and/or product management. Experience in commercial and/or supply chain operations including sourcing, assortment, vendor management, product management, and pricing.
• Significant experience with analytics, statistics and structured problem solving
• Proficiency in data analysis and presentation formation using internal database resources, internal and external business partners, and Microsoft office suite
• Proven analytical proficiency and ability to leverage data to positively impact the business and solve complex business problems
• Highly collaborative with proven experience partnering, influencing and negotiating
• Ability to develop a structured approach to complex questions and quickly form a hypothesis against which to run test analyses. Knowledge of SQL & Python.