Data Quality Analyst
- Understand and implement analytic solutions to improve data quality and consistency and establish procedures and methodology to ensure data accuracy and consistency of use.
- Assist in developing new and improved data acquisition and analysis processes to improve the operational management of the business while collaborating with internal business functions and requirements.
- Develop and maintain a transparent and consistent data dictionary that documents technical processes and business rules.
- Use SQL and relational database systems to collect relevant data and manage large data sets
- Ensure the use of best practices in data quality and data management processes
- Collaborate with business analysts, database and BI developers in performing various data-focused activities
- Identify, analyze, and interpret trends or patterns in simple and complex data sets
- Apply statistical methods to data profiling to automate and continuously monitor data quality
- Ensure ongoing evaluation to identify opportunities for improvement to promote agility and high-quality service.
- Collect, document, present, and convey insights, evidence, and findings
- Work with Database and Business Intelligence developers in unit testing views and stored procedures
- Perform data validation and support report validation
- Scope and plan tasks and assess proper estimate of time and effort
- Stay current with the latest data processing and analysis technologies
- Exhibit accountability and responsibility for the accuracy and completeness of assigned work and results
- Prioritize and manage workload and communicate issues clearly
- Complete other tasks as required
- Travel when required
- Bachelor's degree from an accredited institution or equivalent industry experience
- 3+ years in a professional data analyst role, with experience in data quality and data analysis
- Experience in RDBMS (e.g., MSSQL) and client tool (SSMS), BI tool (Tableau or Power BI), and programming (T-SQL, C# or Java a plus)
- Knowledge of Statistics and experience using statistical packages (Excel, R, Python, SPSS, or SAS)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Possess the ability to whiteboard ideas, concepts, flow, or processes
- Adept at collecting data/info, documenting, and presenting findings
- Knowledge of SAP modules is a plus
- Knowledge/understanding of agile methodologies such as SCRUM
- Strong written and verbal communications skills
- Excellent organizational skills, including the ability to multi-task and prioritize workload
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