Data Quality Analyst - Entry Level - Remote

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

Overview

The Data Quality Analyst - Entry Level position at Talentify.io is a vital role that focuses on ensuring the integrity, accuracy, and quality of data across various platforms and systems. The successful candidate will collaborate with cross-functional teams to monitor, analyze, and enhance data quality processes. This position offers an opportunity to develop skills in data analysis while contributing to critical projects that support the organization’s data-driven decision-making.

Job Responsibilities

• Perform data validation and quality checks to identify discrepancies and anomalies in datasets.
• Collaborate with data engineering and analytics teams to design and implement data quality improvement initiatives.
• Document data quality issues and track their resolution through established processes.
• Assist in the development of data quality metrics and dashboards to monitor ongoing performance.
• Participate in the creation of data governance policies and best practices.
• Provide support in training team members on data quality standards and procedures.

Qualifications

• Bachelor's degree in Data Science, Information Technology, Computer Science, or a related field.
• Basic understanding of database management concepts and data structures.
• Familiarity with data quality tools and methodologies is a plus.
• Strong analytical and problem-solving skills.
• Proficient in Microsoft Excel and data visualization tools.
• Effective communication skills, both verbal and written.
• Ability to work independently and within a team in a remote environment.

Technologies & Tools

The Data Quality Analyst will primarily utilize various database management systems, data analysis tools, and quality assurance methodologies. Familiarity with software such as SQL, Python, R, and data visualization platforms like Tableau or Power BI will be beneficial. Knowledge of data cleansing and comparison tools will also support the execution of data quality initiatives effectively.

Ideal Candidates

Ideal candidates for the Data Quality Analyst position will possess a keen eye for detail and a passion for data integrity. They should exhibit strong organizational skills and the ability to manage multiple tasks simultaneously. A proactive attitude, coupled with a willingness to learn and adapt in a remote work environment, will contribute to successful collaboration. Candidates should also demonstrate effective problem-solving abilities and a commitment to delivering high-quality results.