Data Quality Analyst I - Remote

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Written by AI from the job title and company, not by Ultra Mobile, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Data Quality Analyst I at Ultra Mobile will play a crucial role in ensuring the accuracy, integrity, and quality of data across various systems and datasets. The incumbent will be responsible for monitoring data quality, implementing validation processes, and conducting analyses to identify discrepancies or gaps in data. The position requires collaboration with cross-functional teams to develop and maintain high standards for data collection and reporting practices, ultimately supporting the organization's strategic goals through informed decision-making.

Job Responsibilities

• Monitor data quality metrics and perform ongoing assessments to ensure data accuracy and integrity.
• Develop, implement, and maintain data validation processes that align with organizational standards.
• Conduct root cause analyses on data discrepancies and implement appropriate corrective actions.
• Collaborate with IT, operations, and other departments to address data-related issues.
• Document procedures and guidelines for data management and quality assurance.
• Assist in the preparation of reports and presentations regarding data quality findings.
• Participate in training sessions to promote data quality awareness across the organization.

Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field.
• At least 1 year of experience in data analysis or a similar role.
• Proficiency in data analysis tools such as SQL, Python, or R is preferred.
• Strong analytical skills with a keen attention to detail.
• Excellent problem-solving capabilities and the ability to think critically.
• Strong communication skills, both verbal and written.
• Experience with data visualization tools such as Tableau or Power BI is a plus.

Technologies & Tools

In this position, the Data Quality Analyst I will utilize various technologies and tools to enhance data quality management. Key tools include SQL for querying databases, Python or R for statistical analysis, and data visualization platforms such as Tableau and Power BI. Additionally, familiarity with data warehousing solutions and ETL processes will be beneficial in supporting data integrity initiatives.

Ideal Candidates

The ideal candidate for the Data Quality Analyst I role at Ultra Mobile should possess a strong analytical mindset and a passion for data integrity. They must demonstrate a proactive approach to problem-solving and exhibit strong attention to detail. Effective communication skills are essential, as the candidate will interact with various stakeholders across the organization. A collaborative spirit and an eagerness to learn and adapt to new technologies will further enhance their suitability for this role.