Equity Data Science
Data Quality Analyst
Equity Data Science, Snowflake, Arizona, United States, 85937
About the Role:
As a Data Quality Analyst, you will play a pivotal role in ensuring the accuracy, consistency, and reliability of data across various systems. You will collaborate with cross-functional teams to define data quality standards, develop quality checks, and maintain data accuracy across platforms like AWS and Snowflake. Your technical expertise in Python, SQL, and data analysis tools like R and Power BI will be critical to maintaining high standards of data integrity. This role is designed for someone who thrives in a fast-paced environment and enjoys working independently with minimal supervision.Responsibilities:
Develop and implement data quality checks using Python, SQL, and relevant tools across platforms such as AWS and Snowflake.Perform data analysis using Python or R to identify, investigate, and resolve data quality issues.Collaborate with global business and technical teams to ensure seamless data integration and quality assurance.Conduct root cause analysis for data inconsistencies and collaborate on solutions for remediation.Maintain and improve data validation processes, ensuring data quality across different systems.Utilize data visualization tools such as Power BI to present findings, trends, and areas for improvement.Assist in developing metrics for data performance and ensure timely data delivery for business analytics.Document data quality processes and solutions while aligning with both business and technical standards.Desired Skills / Qualifications:
Bachelor’s degree in computer science, Data Analytics, or a related field.Strong experience in Python and SQL scripting for data quality checks, or proficiency in data analysis using R, Python, and SQL.Familiarity with cloud platforms like AWS and data warehousing solutions like Snowflake.Experience working with large datasets and developing automated data quality checks.Strong analytical, numeric, and problem-solving skills.Ability to multitask, prioritize tasks effectively, and manage time in a fast-paced environment.Experience with data visualization tools such as Power BI to present data insights.Excellent communication and collaboration skills for working with global business and technical teams.Self-starter and quick learner, able to adapt to evolving business requirements.Technologies:
Languages: Python, R, SQLTools/Platforms: AWS, Snowflake, Power BI
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As a Data Quality Analyst, you will play a pivotal role in ensuring the accuracy, consistency, and reliability of data across various systems. You will collaborate with cross-functional teams to define data quality standards, develop quality checks, and maintain data accuracy across platforms like AWS and Snowflake. Your technical expertise in Python, SQL, and data analysis tools like R and Power BI will be critical to maintaining high standards of data integrity. This role is designed for someone who thrives in a fast-paced environment and enjoys working independently with minimal supervision.Responsibilities:
Develop and implement data quality checks using Python, SQL, and relevant tools across platforms such as AWS and Snowflake.Perform data analysis using Python or R to identify, investigate, and resolve data quality issues.Collaborate with global business and technical teams to ensure seamless data integration and quality assurance.Conduct root cause analysis for data inconsistencies and collaborate on solutions for remediation.Maintain and improve data validation processes, ensuring data quality across different systems.Utilize data visualization tools such as Power BI to present findings, trends, and areas for improvement.Assist in developing metrics for data performance and ensure timely data delivery for business analytics.Document data quality processes and solutions while aligning with both business and technical standards.Desired Skills / Qualifications:
Bachelor’s degree in computer science, Data Analytics, or a related field.Strong experience in Python and SQL scripting for data quality checks, or proficiency in data analysis using R, Python, and SQL.Familiarity with cloud platforms like AWS and data warehousing solutions like Snowflake.Experience working with large datasets and developing automated data quality checks.Strong analytical, numeric, and problem-solving skills.Ability to multitask, prioritize tasks effectively, and manage time in a fast-paced environment.Experience with data visualization tools such as Power BI to present data insights.Excellent communication and collaboration skills for working with global business and technical teams.Self-starter and quick learner, able to adapt to evolving business requirements.Technologies:
Languages: Python, R, SQLTools/Platforms: AWS, Snowflake, Power BI
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