Data Quality Analyst

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

Overview

SMKSoft Inc. is seeking a detail-oriented and analytical Data Quality Analyst to join our dynamic team. The successful candidate will be responsible for developing and implementing processes to ensure the accuracy, completeness, and reliability of data across our systems. This role will involve identifying data quality issues, recommending solutions, and collaborating with various departments to enhance data integrity, thereby supporting strategic decision-making within the organization.

Job Responsibilities

• Design and execute data quality assessment workflows and frameworks.
• Identify, document, and analyze data quality issues and discrepancies.
• Collaborate with stakeholders to define data quality criteria and metrics.
• Develop and implement data cleansing processes and tools.
• Monitor data quality metrics and provide regular reports on findings.
• Work closely with IT teams to refine data capture processes and improve overall system performance.
• Assist in training staff on data quality practices and tools.
• Participate in data governance initiatives to ensure compliance with established standards.

Qualifications

• Bachelor’s degree in Data Science, Information Technology, Statistics, or a related field.
• Minimum of 3 years of experience in data quality, data analysis, or related roles.
• Strong understanding of data management principles and practices.
• Proficiency in data querying languages (SQL, etc.) and data visualization tools.
• Experience with data profiling and cleansing technologies.
• Exceptional analytical and problem-solving skills.
• Strong attention to detail and ability to work under pressure.
• Excellent communication and collaboration skills.

Technologies & Tools

In the role of Data Quality Analyst, the candidate will utilize a variety of technologies and tools, including but not limited to SQL for data querying, Tableau for data visualization, and data profiling tools such as Talend or Informatica. Familiarity with programming languages like Python or R will also be beneficial for data manipulation tasks.

Ideal Candidates

The ideal candidates for the Data Quality Analyst position will possess a strong aptitude for analytical thinking and problem-solving. They will have a keen eye for detail, ensuring that even the smallest data discrepancies are addressed. Additionally, qualified individuals will demonstrate effective communication skills, allowing them to convey complex data insights to stakeholders at all levels. A proactive nature, coupled with the ability to work collaboratively in a team-oriented environment, is essential for success in this role.