Data Quality Assurance

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

We are seeking a detail-oriented and proactive Jr Data Quality Analyst Contractor to join our team. The successful candidate will be responsible for performing manual data quality checks, identifying discrepancies, and ensuring that data is updated accurately and in a timely manner. This role requires strong analytical skills, excellent communication abilities, and a commitment to maintaining high data quality standards.

Key Responsibilities

To be effective in this role, the candidate will be required to learn the ins/outs of Adobe’s internal release governance processes and nuances.
Be able to hold process discussions with data owners (ex: PgMs, PMMs) and point to process requirements when discrepancies arise.
Understand the requirements enough to capture necessary information when outliers occur and loop in core team for inspection, in a timely manner.

Conduct regular data quality assessments to identify errors, inconsistencies, and missing information.
Utilize tools and techniques to analyze datasets and ensure accuracy and completeness.
Develop and implement data quality metrics and reporting.

Communicate with relevant departments and individuals to gather missing information and clarify data discrepancies.
Follow up on data correction requests to ensure timely updates.
Provide regular updates on data quality status and progress to management.

Maintain detailed documentation of data quality issues, corrective actions, and follow-up activities.
Generate reports on data quality metrics and trends for management review.
Develop and maintain data quality guidelines and best practices.

Identify opportunities for process improvements to enhance data quality.
Participate in data quality improvement projects and initiatives.
Stay updated on industry best practices and emerging trends in data quality management.

Strong analytical skills and attention to detail.
Proficiency in using MS Office Suite, and other standard software tools (e.g., Excel, Outlook, etc).
Familiar with using AI tools (e.g., prompt engineering, creating Agents for repeatable tasks)
Excellent communication and interpersonal skills.
Ability to work independently and manage multiple tasks simultaneously.
Strong problem-solving skills and a proactive approach to identifying and resolving data issues.