Data Quality Analyst

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Written by AI from the job title and company, not by Volitiion IIT - Putting Intelligence in IT, so some details may not match this job. The employer's own page has the real description.

Overview

As a Data Quality Analyst at Volitiion IIT, you will play a crucial role in ensuring the accuracy, integrity, and usability of our data resources. You will be responsible for managing data quality initiatives, conducting audits, and analyzing data discrepancies to drive improvements in our data management processes. Your expertise will enable the organization to leverage high-quality data for informed decision-making, thereby enhancing operational efficiencies and data-driven strategies.

Job Responsibilities

• Perform regular data audits to assess data quality and compliance with established standards.
• Identify, document, and resolve data quality issues, inconsistencies, and anomalies.
• Develop, implement, and monitor data quality metrics and dashboards for tracking performance.
• Collaborate with cross-functional teams to understand and address data quality requirements.
• Utilize SQL and other data querying languages to extract and analyze data sets.
• Provide training and support to staff on data quality best practices and techniques.
• Prepare reports and presentations to communicate findings and recommendations to stakeholders.
• Continuously seek opportunities for process improvements in data management practices.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• Minimum of 2-3 years of experience in data analysis, data quality management, or a similar role.
• Proficient in SQL and experienced with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical skills with a detail-oriented mindset and a knack for problem-solving.
• Excellent written and verbal communication skills to effectively convey complex data matters.
• Experience with data governance practices and methodologies is a plus.
• Familiarity with programming languages such as Python or R is advantageous.

Technologies & Tools

In this position, you will utilize a variety of technologies and tools to carry out your duties. This includes data management and visualization software such as Tableau and Power BI for reporting, SQL for querying databases, and other analytical tools such as Python or R for data manipulation and statistical analysis. Additionally, you may work with data governance platforms and ETL (Extract, Transform, Load) tools to ensure data quality workflows are effectively maintained.

Ideal Candidates

The ideal candidate for the Data Quality Analyst position will possess a strong analytical mindset and attention to detail, enabling them to detect and rectify data issues efficiently. They should be proactive in their approach to identifying problems and offer sustainable solutions. Excellent communication and collaboration skills are essential, as they will need to work with various teams to ensure a culture of data quality across the organization. A passion for continuous improvement and a commitment to maintaining high standards of data integrity will make candidates stand out in this role.