Data Quality Analyst

2 weeks ago

Chicago, United States Selby Jennings Full time

Selby Jennings has partnered with a leading Asset Management team looking to bring a Data Quality Analyst to their team.

The Data Quality Analyst will have the following responsibilities:

  • Conduct advanced statistical analysis to scrutinize and enhance the quality of large datasets across multiple asset classes.
  • Design and deploy innovative systems and algorithms to detect and correct data quality issues, leveraging statistical models and data science methodologies.
  • Utilize Python, SQL, and other analytical tools for in-depth data validation and analysis, applying statistical techniques where appropriate.
  • Develop, maintain, and refine scalable solutions and detailed documentation to support data governance and empower data owners.

The Data Quality Analyst will have the following qualifications:

  • Bachelor's or Master's degree in Statistics, Data Science, Mathematics, Computer Science, or a related field with a strong emphasis on statistical analysis.
  • Minimum of 3-5 years of professional experience in a data quality, data science, or statistical analysis role, preferably within the financial sector.
  • Demonstrated expertise in statistical methods, machine learning algorithms, and predictive modeling.
  • Proficient in data analysis and manipulation using Python (Pandas, NumPy, SciPy, scikit-learn), SQL, and familiarity with data visualization tools.
  • Experience with quality control processes and a keen eye for identifying, managing, and resolving complex data quality issues.
  • Prior experience with financial data sources such as Refinitiv, Bloomberg, and FactSet is highly desirable, along with an understanding of financial markets and instruments.

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