Data Conversion Analyst
1 week ago
Responsibilities:
- Develop/test/execute data conversion extractions, transformations, and processes within an established conversion framework in a timely and accurate manner.
- Develop and maintain data conversion documentation.
- Write and maintain automation scripts as needed.
- Verify data integrity and identify data cleanliness issues.
- Reconcile converted data to ensure accuracy.
- Communicate effectively with management.
- Develop good working relationships with departmental staff to troubleshoot technical and functional issues that may arise during the implementation process.
- Skills and Competencies:
- Solid grasp of relational database structures and strong use of SQL.
- Familiarity with a variety of database types and interfaces (Microsoft Access, Oracle, various text formats, ODBC).
- Solid understanding and usage of Microsoft Excel.
- Strong troubleshooting skills and analytical thinking to resolve issues.
- Positive, proactive, take-charge attitude and attention to detail.
- Strong time management skills with the ability to meet deadlines for multiple, concurrent projects.
- bility to quickly gain a working knowledge of products, interpret requirements, and recommend solutions.
- Excellent verbal and written communication skills.
- Bachelor's degree in computer science or a related field from an accredited college or university AND One year of job-related experience.
- Preference may be given to applicants who, in addition to meeting the Minimum Qualifications, possess the following:
- Experience with PeopleSoft, Oracle, Taleo, Workday, or other SaaS and On-Premises ERP systems.
- Experience in Human Resource, Financial, or Procurement domains.
- Can work in a fast-paced, fast-growth, high-energy environment and take care of multiple high-priority activities concurrently.
- bility to balance multiple projects and initiatives simultaneously.
- standout colleague who can collaborate and communicate optimally with all partners, i.e. developers, technical operations, and customers.
- Possess excellent verbal and written communication skills.
- Passion for data accuracy and completeness.
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