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F5 is a multi-cloud application services and security company that specializes in application security, performance, and delivery. The Data Quality Analyst I will support data quality initiatives, focusing on quality analysis, managing customer hierarchies, and executing data change requests, while collaborating with business partners globally. Responsibilities Monitor and execute processes for new data requests, changes, and deletions, ensuring accurate data entry and maintenance in relevant systems. Perform internet research to validate addresses and utilize Microsoft Excel for data analysis and reporting purposes. Utilize data quality tools and techniques to ensure data accuracy and appropriateness for intended business use cases. Enhance data management and improve data quality outcomes by documenting, profiling, and analyzing organization-wide data. Maximize the value of data assets by contributing to the development of data quality rules, metrics, and thresholds that support critical business processes. Support the resolution of data anomalies through data profiling, validation checks, and root cause analysis. Gain stakeholder buy-in for process improvements and issue-resolution efforts by preparing and presenting quality analysis findings and actionable recommendations. Identify missing or incorrect data via defined processes, reports, or tools, and initiate appropriate corrective actions or escalations to drive resolution. Qualification Required Minimum 2 years of experience in Data Management and Governance position Proficiency with SQL Proficiency with data visualization tools like PowerBI, Tableau, etc. Working knowledge of ticketing systems and of managing backlogs (ServiceNow) Strong technical, analytical, problem-solving and storytelling skills Proven attention to detail, with ability to dive deep into data issues to find root causes that lead to quality/process improvement. Demonstrated ability to collaborate, listen and influence across organizational boundaries. Demonstrated ability to document, communicate, and guide teams through operational and technical issues related to data management and data quality. Positive, self-motivated, flexible, persistent, with good interpersonal skills Preferred Knowledge of MDM principles and workflows Proficiency in Microsoft Office Suite (or similar tools such as Google Workspace) Experience with R or Python Exposure to Business Transactional Systems (e.g., Oracle EBS, Siebel CRM, Salesforce) Understanding of Business Transactional Systems (such as Salesforce, Oracle EBS, Siebel CRM) Previous work experience in data quality space leveraging third-party reference data (such as Dun & Bradstreet, and Acxiom) Previous work experience conducting quality reviews comparing core (master) and reference data sets against transactional systems data Understanding of Go-to-Market customer installs base/asset management processes and best practices, inclusive of constraints, compliance, and associated downstream implications. Bachelors degree in Business/Economics/Finance, Math/Statistics, MIS, or other computational field of study Show more Show less #J-18808-Ljbffr