Associate Data Quality Analyst

About the Role

As an Associate Data Quality Analyst at Coditas, you will be responsible for ensuring the accuracy and integrity of financial data. This involves working closely with cross-functional teams to identify and resolve data quality issues, developing and implementing data validation processes, and collaborating with stakeholders to improve data management practices.

Day-to-day, you will spend most of your time analyzing data, identifying trends and patterns, and developing solutions to improve data quality. You will also be responsible for maintaining data documentation, creating reports, and presenting findings to stakeholders.

Key Responsibilities

• Develop and implement data validation processes to ensure data accuracy and integrity.
• Analyze data to identify trends, patterns, and anomalies, and develop solutions to improve data quality.
• Collaborate with cross-functional teams to identify and resolve data quality issues.
• Maintain data documentation, including data dictionaries and metadata.
• Create reports and presentations to communicate findings to stakeholders.
• Develop and maintain data quality metrics and dashboards to track progress.
• Stay up-to-date with industry trends and best practices in data quality and analytics.

Skills & Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in MySQL, AWS, and Python programming languages.
• Experience with data extraction, data quality, and analytical skills.
• Knowledge of financial instruments and corporate finance.
• Familiarity with markets and problem-solving techniques.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

What You'll Learn

As an Associate Data Quality Analyst, you will have the opportunity to learn and grow in a dynamic and fast-paced environment. You will gain hands-on experience with data analysis, data quality, and analytics, and develop skills in data visualization, reporting, and presentation.

You will also have the chance to work with a talented team of professionals, collaborate with stakeholders, and contribute to the development of data quality processes and practices.

Resume Tip

When applying for this role, make sure to highlight your analytical and problem-solving skills, as well as your experience with data extraction, data quality, and financial instruments. Use specific examples from your previous experience to demonstrate your skills and qualifications.

Also, be sure to tailor your resume to the job description, using keywords from the job posting to describe your skills and experience. This will help your resume pass through applicant tracking systems (ATS) and catch the eye of the hiring manager.