Job#: 3059368 Job Description: Data Analyst - Master Data Governance & ERP Consolidation
Location: Remote
Contract Duration: Initial 6 months, with potential extension
Industry: Manufacturing / Engineering
Role Overview
The Data Analyst will support an enterprise-wide data standardization and ERP consolidation initiative across multiple operating locations. The organization currently operates across several ERP and Manufacturing Execution System (MES) environments, with data from these systems consolidated into a centralized data warehouse.
This role will analyze data entities across disparate systems, identify inconsistencies in data types, field lengths, definitions, and intended usage, and establish standardized enterprise data structures. The Data Analyst will also support upcoming QuickBooks-to-Infor SyteLine migrations by ensuring data is properly cleansed, mapped, normalized, and prepared for migration.
A key outcome of this role will be the development of an enterprise data dictionary and repeatable standards that improve data quality and consistency across ERP, MES, financial, manufacturing, and reporting environments.
Key Responsibilities
- Analyze data entities ingested from multiple ERP, MES, financial, and operational systems into the enterprise data warehouse.
- Identify inconsistencies across common data elements, including differences in data type, field length, naming conventions, definitions, classifications, and business purpose.
- Develop and execute data standardization and normalization processes across multiple systems and operating locations.
- Create and maintain an enterprise data dictionary defining standardized data elements, formats, definitions, allowable values, and business rules.
- Extract, analyze, cleanse, and standardize customer, vendor, item, inventory, financial, manufacturing, and operational data.
- Develop crosswalks and mapping tables between legacy systems and enterprise-standard data structures.
- Support QuickBooks-to-Infor SyteLine ERP migrations, including data profiling, cleansing, mapping, validation, and reconciliation.
- Compare multiple SyteLine implementations to identify differences and establish consistent data structures across operating locations.
- Identify duplicate, incomplete, obsolete, inconsistent, and incorrectly classified records and coordinate remediation with appropriate business stakeholders.
- Validate standardized and migrated data against source systems to ensure completeness and accuracy.
- Define repeatable data-quality rules and exception-reporting processes to identify ongoing data integrity issues.
- Work closely with Finance, Operations, Manufacturing, and IT stakeholders to understand how common data elements are used across the organization.
- Document data sources, transformation logic, mapping methodologies, business definitions, and data-governance standards.
Required Qualifications
Experience: 3+ years of experience in data analysis, master data management, data cleansing, data migration, ERP implementation, or enterprise data consolidation.
Data Standardization: Hands-on experience analyzing data from multiple systems and developing standardized data definitions, structures, mappings, and normalization rules.
Technical Skills: Advanced Microsoft Excel skills, including Power Query, XLOOKUP, pivot tables, and large dataset manipulation. Strong SQL skills for querying, extracting, profiling, validating, and analyzing data.
ERP Experience: Experience working with ERP data and supporting ERP migrations, implementations, or consolidations. Manufacturing ERP experience is strongly preferred.
Data Governance: Experience developing data dictionaries, data mapping tables, crosswalks, naming standards, validation rules, and other data-governance documentation.
Data Quality: Demonstrated ability to identify and resolve duplicate, incomplete, inconsistent, incorrectly formatted, and misclassified data across large datasets.
Communication: Ability to independently investigate data issues and work directly with Finance, Operations, Manufacturing, and IT stakeholders to understand data definitions and resolve discrepancies.
Preferred Qualifications
- Experience with Infor SyteLine / CloudSuite Industrial (CSI).
- Experience supporting QuickBooks-to-SyteLine or similar ERP data migrations.
- Experience working with data originating from multiple ERP and MES platforms.
- Experience working with manufacturing master data, including customers, vendors, items, inventory, work orders, bills of material, product classifications, and production data.
- Understanding of financial master data, including general ledger accounts, departments, cost centers, and organizational structures.
- Experience working within a data warehouse environment where information is consolidated from multiple source systems.
- Experience establishing enterprise-wide data standards across multiple business units, legal entities, or operating locations.
- Strong attention to detail with the ability to independently manage large-scale data cleanup and standardization activities.
Expected Contract Deliverables
- Enterprise Data Dictionary: Standardized definitions, data types, field lengths, naming conventions, business purposes, and validation requirements for common enterprise data elements.
- Data Quality Assessment: Identification of inconsistent, duplicate, incomplete, obsolete, or incorrectly structured data across source systems.
- Standardization & Normalization Rules: Documented standards governing how common data elements should be structured and maintained across systems.
- ERP/MES Data Crosswalks: Mapping documentation between existing ERP, MES, QuickBooks, SyteLine, and enterprise-standard data structures.
- Migration-Ready Data: Cleansed, standardized, mapped, and validated datasets supporting ERP migration activities.
- Data Governance Documentation: Repeatable processes and controls for maintaining enterprise data quality and consistency going forward.
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