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.

Job Overview

The Data Quality Analyst - Entry Level at Talentify.io is responsible for ensuring the integrity, accuracy, and consistency of the data utilized within our systems. In this role, the analyst will conduct thorough data quality assessments, identify discrepancies, and collaborate with cross-functional teams to resolve data issues. The ideal candidate will possess a keen eye for detail and will play a crucial role in maintaining the organization's data standards, thereby supporting data-driven decision-making processes.

Job Responsibilities

• Perform data quality assessments and audits to identify data inconsistencies and issues.
• Collaborate with stakeholders to understand data requirements and specifications.
• Document and track data quality issues, proposing corrective actions as necessary.
• Assist in the development of data quality metrics and reporting frameworks.
• Support the implementation of data governance policies and best practices.
• Provide training and guidance to team members on data quality tools and procedures.
• Monitor data quality processes and ensure compliance with established standards.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field.
• Strong analytical and problem-solving skills with a focus on detail.
• Familiarity with data quality assessment methods and tools.
• Proficient in Microsoft Excel and data visualization software (e.g., Tableau, Power BI).
• Basic knowledge of SQL or similar database query language.
• Effective communication skills, both written and verbal.
• Ability to work independently and as part of a team in a remote environment.

Technologies & Tools

The Data Quality Analyst will utilize various technologies and tools to perform their role effectively. These include data quality assessment tools, Microsoft Excel for data manipulation, SQL for querying databases, and visualization software such as Tableau and Power BI to present findings. Familiarity with programming languages like Python or R may also be beneficial in automating data quality processes.

Ideal Candidates

The ideal candidate for the Data Quality Analyst - Entry Level position is detail-oriented, analytical, and possesses a proactive attitude towards problem-solving. They should demonstrate a strong desire to learn and grow within the field of data quality and governance. A collaborative spirit and the ability to adapt to changing data landscapes will greatly contribute to their success in this role. Additionally, having a passion for data and its role in informing business strategies is essential.