DATA MAINTENANCE ANALYST
The Honickman Companies
Data Maintenance Analyst
We are seeking a detail-oriented and analytical Data Maintenance Analyst to join our team. This role is responsible for maintaining, validating, and updating critical business data across systems to ensure accuracy, consistency, and integrity. The ideal candidate will have a strong background in data management, experience with enterprise systems, and a commitment to upholding high data quality standards.
Key Responsibilities:
- Maintain and update master data records across business systems including D365, Arete, and VIP (e.g., customer, vendor, product, pricing data).
- Perform regular data audits to identify inconsistencies, duplicates, and errors.
- Cleanse, validate, and standardize data in line with business rules and internal policies.
- Work closely with cross-functional teams (IT, Finance, Sales, Operations) to gather accurate data and support end-to-end data processes.
- Develop and maintain data quality dashboards and reports using Power BI and Tableau.
- Write and execute queries using SQL to support data validation and reporting tasks.
- Support implementation and enhancement of data management tools and processes.
- Document procedures, maintain data dictionaries, and contribute to training and onboarding related to data systems.
- Troubleshoot and resolve data-related issues in a timely and effective manner.
Qualifications:
- Bachelor's degree in information systems, Business Administration, Data Management, or a related field.
- Strong analytical and problem-solving skills with high attention to detail.
- Proficiency in Microsoft Excel and basic understanding of SQL.
- Experience using or supporting Power BI, Tableau, and enterprise data systems.
- Excellent communication skills and the ability to work collaboratively across teams.
Preferred:
- 3+ years of experience in a data-focused role (data analysis, master data maintenance, or data quality management).
- Hands-on experience with Microsoft Dynamics 365 (D365), Arete, and VIP systems.
- Experience working with or supporting internal data quality and governance standards.
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