Data Quality Analyst
Position : Data Quality Analyst
Location : Carnegie Mellon University
Job Summary :
Carnegie Mellon University is embarking on a data project for aligning and aggregating graduate application and admission data.
The overall project goal is to provide solution(s) for routine and standard access to CMU’s graduate application and admission data allowing the university and academic colleges to perform analysis and assessments in areas like enrollment trends and enrollment management as well as overall program success and routine and future planning.
We are looking for a new team member who will develop a deep understanding of the graduate application data from the various graduate programs and application systems and primarily support this new data solution that combines all of this data for the University.
The Data Quality Analyst will work on cleaning data, person matching, and other data quality related tasks. The position may also prepare the data for use in Tableau dashboards and reports and may even stretch into developing them.
The position will primarily work on the graduate application data, but may also work on other similar data quality needs over time.
Responsibilities :
- Identify, compare, and resolve data quality problems.
- Evaluate large datasets for quality and accuracy.
- Perform complex analyses on data quality issues and share results and recommendations.
- Assess business impact for issues and work to resolve them
- Develop and implement data cleanup measures.
- Maintain a record of original data and corrected data.
- Ensure consistency with data quality standards.
- Resolve all internal data exceptions in a timely and accurate manner.
- Identify areas of improvement to achieve data quality.
- Collaborate with other team members to understand data requirements and implement solutions.
- Create and maintain documentation.
- Support the development and maintenance of Enterprise data quality initiatives.
- Continuously improve the data quality processes and procedures.
You should demonstrate :
- Ability to perform data quality activities (data quality rule creation, profiling and deployment, edit checks, identification of issues, root cause analysis, value case analysis, remediation planning)
- Experience in cleaning and validating large datasets.
- Strong problem-solving skills and attention to detail.
- Good communication skills and the ability to work in a collaborative environment.
- Proficiency in SQL and Excel.
- Knowledge of at least one additional coding language that can be used for analysis (i.e. SAS, Python, R).
- Knowledge of visualization tools such as Tableau.
Qualifications :
- Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics or related field.
- At least 3 years of data quality analysis experience
- Experience in higher education is a plus.
Are you passionate about data quality analysis and want to join a dynamic team that is dedicated to delivering high-quality data-driven solutions?
In that case, we encourage you to apply for this position!
CMU’s COVID-19 Vaccination Requirements : As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19.
Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption.
Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Staff and faculty must comply with all applicable COVID-19 mitigation requirements.
Please see Minimum Requirements to Return to Campus for details regarding the university’s current COVID-19 mitigation requirements.
Location
Pittsburgh, PA
Job Function
Data Analysis
Position Type
Staff Regular
Full Time / Part time
Full time
Pay Basis
Salary
More Information :
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Carnegie Mellon University is an Equal Opportunity Employer / Disability / Veteran .
Statement of Assurance
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