About Us
The Marzetti Company (Nasdaq: MZTI) manufactures and sells specialty food products. Our retail brands include Marzetti® dressings and dips, New York Bakery™ garlic breads, and Sister Schubert's® dinner rolls, in addition to exclusive license agreements for Olive Garden® dressings, Chick-fil-A® sauces and dressings, Buffalo Wild Wings® sauces, Arby's® sauces, Subway® sauces, and Texas Roadhouse® steak sauces and frozen rolls. Our foodservice business supplies sauces, dressings, breads, and pasta to many of the top restaurant chains in the United States.
At Marzetti, our mission is to make every meal better through high-quality, flavorful food. Led by our purpose, to nourish growth with all that we do, our team members are dedicated to creating great tasting food and cultivating deep and lasting relationships.
Overview
We kindly request that recruitment agencies and staffing firms refrain from submitting unsolicited resumes to our company. Any resumes sent without a prior agreement and access to proper submittal into the ATS will be considered the property of The Marzetti Company, and we reserve the right to contact those candidates without any obligation to pay a fee.
We are seeking a detail-oriented and analytical IT Business Systems Analyst (Master Data Management) to manage, maintain, and improve the integrity of master data across our enterprise systems. The ideal candidate will ensure data consistency, accuracy, and compliance while collaborating with cross-functional teams to optimize data-related processes. This role offers a unique opportunity for individuals passionate about Data analysis, Data Management, Analytics, System design, and continuous improvement within a forward-thinking organization.
Responsibilities
Master Data Management (MDM):
Maintain, validate, and update master data across Product, Vendor, Customer, Pricing while ensuring consistency and accuracy and maintaining SLAs.
Process Optimization and Automation:
Build automated workflows and process improvements within MDM systems to enhance data quality, reduce manual effort, and streamline cross-functional operations.
Utilize SAP Migrate Your Data to process Master Data.
Data Governance & Quality:
Enforce data governance policies, perform data cleansing, and ensure adherence to data quality standards.
Data Analysis & Reporting:
Provide insights through data analysis, generate reports, and support business decision-making.
Issue Resolution:
Investigate and resolve data discrepancies, inconsistencies, and errors in a timely manner.
Compliance & Security:
Ensure data compliance with industry regulations and company policies regarding security and privacy. Business Systems Analysis:
Work with development teams to design and document system solutions that meet business requirements.
Create detailed specifications and user documentation for implemented systems.
Build relationships with all Data & Analytics stakeholders to understand business needs.
Communicate complex technical findings to non-technical stakeholders in a clear and understandable manner.
Work with cross-functional teams to implement self-service analytics models. #TMZ23
Qualifications
Bachelor's degree in Computer Science, Information Science, Statistics, Mathematics, or related field.
Strong analytical, problem-solving, and risk analysis skills.
Excellent communication and collaboration skills.
Experience with MS Office Suite, SharePoint, and Visio.
Familiarity with SAP S/4HANA highly preferred.
Familiarity with GDSN (global data synchronization network) highly preferred.
Ability to develop and maintain business/technical documentation. Technical Proficiency:
Familiarity with Power Automate, Power Platform or any Low-Code environment.
Intermediate SQL language skills preferred.
Experience with one or multiple RDBMS technologies (SQL Server, Oracle, MySQL, etc.) preferred.
Experience with Business Intelligence tools (Power BI, Tableau, Qlik, etc.) preferred.
Experience in data migration, data integration, or automation projects preferred.
Working knowledge of organizational change management concepts preferred. Technology Stack:
Power Platform
Power BI / Fabric