Data Integrity Analyst

Overview The Data Integrity Analyst will have the responsibility to monitor and ensure accuracy and reliability of Knipper, customer and client data. They are responsible for data validation between systems, translating business requirements into technical specifications, and developing data warehousing and modeling standards. They will ensure that all current and future systems are working together efficiently, both among internal departments and with external networks. They will contribute to data loading and/or validation in an order management system and an ERP. This is a critical support position in the Customer Operations team, requiring an eye for detail as well as excellent communication, documentation management and critical thinking skills.   Responsibilities Participate in full-cycle implementation including system design; building validation; training; implementation; go-live; optimization and maintenance. Create and maintain business process documentation, requirements specifications, test scripts and training materials. Conduct regular audits and assessments of data to identify inconsistencies and discrepancies. Documents key information for analysis which includes downtime, peak order time periods, inventory accuracy and scheduling accuracy. Day to day support to both internal and external teams and issue resolution. Proactively analyze current processes to gain efficiencies and effectiveness. Perform responsibilities in a professional manner, meeting company and divisional goals. Communicate effective written and oral communication across multiple departments. The above duties are meant to be representative of the position and not all-inclusive. Qualifications MINIMUM JOB REQUIREMENTS: Bachelor's degree or equivalent combination of education and experience. Proven experience as a data analyst, data steward, or similar role, with a focus on data integrity and quality. Strong analytical and problem-solving skills, with the ability to interpret complex data sets. Previous supply chain experience PREFERRED EDUCATION AND EXPERIENCE Proficiency in SQL and experience with data analysis tools and techniques. Familiarity with data governance principles and practices. Certification in data management or related field (e.g., Certified Data Management Professional, CDMP). Experience with data quality management tools (e.g., Informatica, Talend, IBM InfoSphere). Knowledge of regulatory requirements related to data integrity and privacy (e.g., GDPR, HIPAA) KNOWLEDGE, SKILLS & ABILITIES: Excellent written and verbal communication skills. Excellent analytical, problem solving and decision-making skills. Ability to accept changing workflows and unexpected demands requiring flexibility. Ability to work under pressure and appropriately prioritize responsibilities. Ability to work independently with minimal supervision. Ability to develop collaborative working relationships. Ability to prepare and write investigational reports for management review. Working knowledge of current including Good Documentation Practices, and Good Distribution Practices. Strong proficiency in Microsoft Office; Outlook, Excel and Teams Proficient in use of computers and ability to learn internal software programs. Attentive to details Able to prioritize multiple tasks PHYSICAL DEMANDS: Location of job activities 100% inside Extensive manual dexterity (keyboarding, mouse, phone) Use of phone for communication Sit for prolonged periods of time Occasionally stoop, kneel, and crouch Occasionally lift, carry, and move up to 25 pounds Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Created: 2024-10-23