Data Quality Analyst
3 weeks ago
Operation and maintenance services
Full Time
About the company:
At Digital Future, we are dedicated to driving cutting-edge innovation in digital transformation. Our expertise spans software development and operations, network infrastructure, cybersecurity, AI/ML, and emerging technologies. We also specialize in business intelligence (BI) and provide comprehensive consulting services in enterprise architecture (EA), project management (PM), data management (DM), and more.
About the Role:
We are seeking a detail-oriented and data-driven Data Quality Analyst to join our team. In this role, you will be responsible for ensuring the accuracy, completeness, and consistency of our organization's data. You will work closely with data engineers, data scientists, and business stakeholders to identify and resolve data quality issues.
Responsibilities:
- Identify and assess data quality issues: Conduct data profiling and analysis to identify data quality problems such as missing values, inconsistencies, duplicates, and inaccuracies. Develop and implement data quality checks and rules.
- Root cause analysis: Investigate the root causes of data quality issues and work with data sources to resolve them.
- Data cleansing and transformation: Participate in data cleansing and transformation activities to improve data quality.
- Develop and implement data quality improvement processes.
- Data governance: Collaborate with data governance teams to establish and enforce data quality standards and policies.
- Educate stakeholders on the importance of data quality.
- Data quality reporting: Generate reports on data quality metrics and communicate findings to stakeholders.
Qualifications:
- Bachelor's degree in computer science, Statistics, or a related field.
- 4+ years of experience in data quality analysis or a related field.
- Strong SQL and data querying skills.
- Experience with data profiling and data quality tools.
- Knowledge of data warehousing and data lake concepts.
- Excellent attention to detail and accuracy.
- Strong analytical and problem-solving skills.
- Bonus Points: Experience with data visualization and reporting tools.
- Knowledge of scripting languages such as Python.
- Experience with data integration and ETL processes.
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