Data Quality Analyst

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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

Overview

The Data Quality Analyst at Mindseeker will be fundamentally responsible for ensuring the integrity, accuracy, and reliability of data across various systems and platforms. This role involves collaborating with cross-functional teams to establish data quality standards, conducting regular assessments of data quality metrics, and identifying and implementing improvements to data quality processes. The Data Quality Analyst will also play a critical role in the validation of data-related projects, providing insights that drive operational efficiency and informed decision-making within the organization.

Job Responsibilities

• Develop and implement data quality frameworks and standards in collaboration with relevant stakeholders.
• Conduct regular data quality assessments and audits to identify discrepancies and areas for improvement.
• Collaborate with IT teams to resolve data integration issues and enhance data management practices.
• Generate and maintain reports on data quality metrics, trends, and performance indicators.
• Assist in the creation of data governance policies to ensure compliance with organizational standards.
• Provide training and support to team members on best practices for data entry and management.
• Engage in data cleansing activities to correct inaccuracies or inconsistencies in datasets.
• Participate in cross-departmental projects to address data challenges and enhance data usability.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data analysis or data quality roles.
• Strong knowledge of data quality tools and methodologies.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical and problem-solving skills, with attention to detail.
• Familiarity with database management systems and data warehousing concepts.
• Strong communication skills, both verbal and written.
• Ability to work independently and manage multiple projects simultaneously.

Technologies & Tools

The Data Quality Analyst role at Mindseeker utilizes various technologies and tools to ensure effective data management and analysis. Proficiency in SQL databases is crucial, alongside familiarity with data visualization platforms like Tableau and Power BI. Additionally, experience with data cleaning tools and ETL (Extract, Transform, Load) processes will be advantageous. Knowledge of programming languages such as Python or R may also be beneficial for advanced data manipulation tasks.

Ideal Candidates

Ideal candidates for the Data Quality Analyst position will possess a strong analytical mindset and demonstrate a passion for data integrity and quality. They should exhibit attention to detail, enabling them to identify anomalies in data sets and propose effective solutions. Strong interpersonal skills are essential as the role requires collaboration with various departments. Furthermore, an eagerness to continuously learn and adapt to new technologies will set candidates apart, as will the ability to convey complex data-related concepts clearly and concisely.