Data / Quality Assurance Analyst (Active Pooling)

Job Description

About Pearl:

Pearl connects top talent from around the world with US and EU-based startups that care about finding sharp and hungry talent that they can grow with long-term. We provide candidates who pass our vetting process with exclusive upskilling opportunities that enable them to get promoted faster in their new roles. We only work with employers who are looking to make full-time hires they can continuously mentor and promote.

ACTIVE POOLING NOTICE:

This role is part of our active pooling process. By applying, you are expressing interest in being considered for future opportunities. We will keep your application on standby and reach out to you as soon as a suitable client opportunity becomes available. Thank you for considering us as part of your career journey!

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Job Title: Data / Quality Assurance Analyst
Working Schedule: Overlapping US hours
Type of Contract: Independent Contractor

About the Role:
In this crucial role, you will be responsible for ensuring the accuracy, completeness, and consistency of our data sets. You'll analyze data for errors and inconsistencies, develop solutions for improvement, and implement data quality processes to maintain a high standard. You'll also collaborate with various stakeholders to ensure data quality meets business needs.

Duties and Responsibilities:

• Analyze data from various sources to identify errors, duplicates, and inconsistencies.
• Cleanse and standardize data according to established quality standards.
• Develop and implement data quality control procedures.
• Monitor data quality metrics and identify trends.
• Conduct root cause analysis to identify the source of data quality issues.
• Recommend and implement solutions to improve data quality.
• Develop and maintain data quality documentation.
• Collaborate with data analysts, business users, and IT teams to ensure data quality meets business needs.
• Create reports and dashboards to visualize data quality trends.
• Stay up-to-date on data quality best practices and methodologies

Requirements

• Minimum of 3 years of experience in data analysis or a similar role.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Proficiency in SQL queries and data manipulation tools (e.g., Excel, Access).
• Experience with data quality tools (a plus).
• Strong communication, interpersonal, and collaboration skills.
• Ability to work independently and as part of a team