Ahold Delhaize USA
Overview
Data Quality Analyst III at Ahold Delhaize USA. This role serves as a critical link between operational teams, IT, product management, and the Data & Analytics group. This position 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 have extensive advanced analytical skills, root cause analysis, understanding of technology stacks and data modeling. The role works with the Data Quality Manager, supports user acceptance testing (UAT), and collaborates 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 supports various commercial & supply chain teams with internal audits and Azure AD groups for role level security enablement. The position requires strong understanding of agile methodologies, advanced analytical skills, and the ability to independently identify and resolve data issues. It is a critical role to pass all quality testing, asset certification and alerting setups prior to data models going live to the organization.
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 across functional commercial & supply chain teams to ensure data quality/integrity prior to data lake table or Power BI reporting go-live. Partner 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 KPIs and remediating data in partnership with the business. Independently identify and address gaps within the Commercial & Supply Chain Domain within Datalake and Purview by performing monthly audits to ensure data integrity (e.g., missing business terms in the Commercial & Supply Chain Domain). Leverage data profiling tooling or other tools to support data quality by setting up SQL codes per table to identify data issues within source systems and Datalake tables; open tickets to resolve or submit small business enhancements to correct sources. Serve as primary contact for submitting incident data issues for Commercial and Supply Chain (e.g., leveraging ServiceNow) and tooling issues (Power BI, Alteryx, Databricks), and own testing of resolutions. Establish root cause analysis for data integrity issues and propose fixes to strategically address recurring data pipeline issues, partnering with IT and owning the solution through completion. Provide support to the Data Quality Manager to drive cross-functional teams during the life cycle of data quality issues. Deep-dive data issues for third-party data (e.g., Circana) using tools such as Databricks (SQL, Python, PySpark), ADF, and/or Alteryx to provide insights and propose solutions.
Basic Requirements
Bachelor’s degree in business, economics, engineering, math, statistics, or another quantitatively oriented major; relevant work experience acceptable. MBA or MS in Industrial Engineering, Operations Research or similar discipline preferred. 3-5 years of experience in analytics and/or product management, with 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 using internal databases, internal/external partners, and Microsoft Office suite. Proven analytical proficiency with the ability to leverage data to impact the business and solve complex problems. Highly collaborative with experience partnering, influencing and negotiating. Ability to develop a structured approach to complex questions and quickly form hypotheses for testing analyses; knowledge of SQL & Python.
At Ahold Delhaize USA, we provide services to a large portfolio of grocery brands and are actively seeking top talent. We value diversity, equity, inclusion and belonging, wellness, collaboration, curiosity, and continuous learning, and invest in our people to grow and deliver at all levels of the business.
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.
Seniority level
Mid-Senior level
Employment type
Other
Job function
Information Technology
Industries
Retail
Referrals increase your chances of interviewing at Ahold Delhaize USA by 2x. Get notified about new Data Quality Analyst jobs in Scarborough, ME.
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Data Quality Analyst III at Ahold Delhaize USA. This role serves as a critical link between operational teams, IT, product management, and the Data & Analytics group. This position 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 have extensive advanced analytical skills, root cause analysis, understanding of technology stacks and data modeling. The role works with the Data Quality Manager, supports user acceptance testing (UAT), and collaborates 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 supports various commercial & supply chain teams with internal audits and Azure AD groups for role level security enablement. The position requires strong understanding of agile methodologies, advanced analytical skills, and the ability to independently identify and resolve data issues. It is a critical role to pass all quality testing, asset certification and alerting setups prior to data models going live to the organization.
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 across functional commercial & supply chain teams to ensure data quality/integrity prior to data lake table or Power BI reporting go-live. Partner 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 KPIs and remediating data in partnership with the business. Independently identify and address gaps within the Commercial & Supply Chain Domain within Datalake and Purview by performing monthly audits to ensure data integrity (e.g., missing business terms in the Commercial & Supply Chain Domain). Leverage data profiling tooling or other tools to support data quality by setting up SQL codes per table to identify data issues within source systems and Datalake tables; open tickets to resolve or submit small business enhancements to correct sources. Serve as primary contact for submitting incident data issues for Commercial and Supply Chain (e.g., leveraging ServiceNow) and tooling issues (Power BI, Alteryx, Databricks), and own testing of resolutions. Establish root cause analysis for data integrity issues and propose fixes to strategically address recurring data pipeline issues, partnering with IT and owning the solution through completion. Provide support to the Data Quality Manager to drive cross-functional teams during the life cycle of data quality issues. Deep-dive data issues for third-party data (e.g., Circana) using tools such as Databricks (SQL, Python, PySpark), ADF, and/or Alteryx to provide insights and propose solutions.
Basic Requirements
Bachelor’s degree in business, economics, engineering, math, statistics, or another quantitatively oriented major; relevant work experience acceptable. MBA or MS in Industrial Engineering, Operations Research or similar discipline preferred. 3-5 years of experience in analytics and/or product management, with 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 using internal databases, internal/external partners, and Microsoft Office suite. Proven analytical proficiency with the ability to leverage data to impact the business and solve complex problems. Highly collaborative with experience partnering, influencing and negotiating. Ability to develop a structured approach to complex questions and quickly form hypotheses for testing analyses; knowledge of SQL & Python.
At Ahold Delhaize USA, we provide services to a large portfolio of grocery brands and are actively seeking top talent. We value diversity, equity, inclusion and belonging, wellness, collaboration, curiosity, and continuous learning, and invest in our people to grow and deliver at all levels of the business.
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.
Seniority level
Mid-Senior level
Employment type
Other
Job function
Information Technology
Industries
Retail
Referrals increase your chances of interviewing at Ahold Delhaize USA by 2x. Get notified about new Data Quality Analyst jobs in Scarborough, ME.
#J-18808-Ljbffr