Data Quality Analyst

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

Job Overview

Horizontal Talent is seeking a detail-oriented Data Quality Analyst to ensure the integrity, accuracy, and reliability of our data across various systems. The successful candidate will be responsible for developing and implementing data quality strategies, conducting data audits, and collaborating with cross-functional teams to identify and resolve data discrepancies. This role is pivotal in maintaining the highest standards of data governance while supporting data-driven decision-making within the organization.

Job Responsibilities

• Develop and execute data quality assessment plans to monitor data integrity.
• Identify, document, and track data quality issues, working with relevant stakeholders to implement corrective actions.
• Conduct data audits and provide insights into data quality metrics and performance trends.
• Collaborate with IT, data engineers, and business analysts to resolve data quality problems.
• Design and implement data cleansing procedures to enhance overall data quality.
• Assist in the development of data governance policies and best practices.
• Provide training and support to team members in best practices for data management.
• Prepare and present reports on data quality findings and recommendations to senior management.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Proven experience in data quality analysis, data governance, or a related role.
• Strong understanding of data management principles and practices.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with data profiling and data cleansing techniques.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong attention to detail and accuracy in data handling.
• Effective communication skills, both verbal and written, with the ability to convey technical information to non-technical stakeholders.

Technologies & Tools

The Data Quality Analyst will utilize a variety of technologies and tools to perform their duties effectively. Key tools include SQL for querying databases, data visualization platforms like Tableau or Power BI for reporting, and data management software such as Informatica or Talend for data integration processes. Familiarity with programming languages such as Python or R may also be beneficial for data analysis tasks.

Ideal Candidates

Ideal candidates for the Data Quality Analyst position will possess a high level of analytical thinking, demonstrating a passion for delivering high-quality data solutions. They should be proactive, detail-oriented, and able to collaborate effectively with various teams while maintaining a strong focus on data governance best practices. Strong organizational skills, the ability to handle multiple tasks simultaneously, and a solution-oriented mindset are crucial characteristics for success in this role.