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Barry-Wehmiller · 22 hours ago

Data Quality Analyst

St Louis, MO

Full-time

Onsite

Senior Level

5+ years exp

Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology. The Data Quality Analyst ensures the accuracy, completeness, and reliability of data by modeling, analyzing, and cleaning data, while collaborating with various teams to optimize data for consumption.

Machinery

Responsibilities

Profile and audit datasets using tools or code to analyze data and identify anomalies, inconsistencies, and errors

Evaluate, recommend and document data standards

Gather data from primary and secondary data sources to identify opportunities and interpret trends

Analyze and test datasets to determine overall data quality and integrity

Create specifications and code data quality rules to evaluate data in a format that can be reviewed by owners, stewards and other stakeholders

Design and implement data quality metrics, create reports, and provide insights into data quality trends to ensure data meets business requirements

Identify the root cause of data quality issues and review findings with leadership to inform business decisions and prioritize system needs

Highlight data quality issues and work with stakeholders on clean-up, mapping and transformation rules

Evaluate system performance and design, as well as its effect on data quality

Collaborate with stakeholders to ensure mechanisms are defined to prevent data quality issues at the source, when possible

Lead and perform data clean-up activities through close collaboration with the business

Lead and make system improvements in data collection, preparation, storage and security processes

Create and maintain technical documentation including data quality processes, standards, and manuals

Train users and project teams on best practices and standards

Keep abreast of best practices in data quality and analysis

Qualification

SQLData analysis toolsStatistical methodsData quality standardsMicrosoft certificationsData governance platformsTechnical documentationAnalytical skillsProblem-solving skillsInterpersonal skillsCommunication skills

Required

Proficiency in programming languages, including Structured Query Language (SQL)

Experience with data analysis tools (e.g. Python, R, Julia, Power BI, MS Excel)

Knowledge of statistical methods and tests, including Data Analysis techniques including Regression Analysis, Monte Carlo simulations, Factor Analysis, Cohort Analysis, Cluster Analysis, Time Series Analysis, and Sentiment Analysis

Experience with statistical packages (e.g. MS Excel, SAS, and SPSS)

Exceptional analytical skills

Advanced problem-solving skills

Knowledge of best practices in data analysis

Excellent interpersonal and communication skills

Bachelor's degree in statistics, mathematics, computer science, information management, or similar

5+ years of experience in data analysis and modeling

5+ years of system testing and quality assurance experience

Experience in large enterprise environments supporting both professional developers and low-code/no-code solutions

Familiarity with data governance and management platforms (e.g. Ataccama, Purview, Informatica, Erwin)