Data Quality Analyst I - Entry Level

Qualifications

• 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

Responsibilities

• 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
• 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

Full Description

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 fornew 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.

• Bachelor's degree in Business/Economics/Finance, Math/Statistics, MIS, or other computational field of study