Data Steward
Company | Govini |
---|---|
Location | Pittsburgh, PA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Mid Level, Senior |
Requirements
- Proven experience working with parts data, including familiarity with DLA NSN management data or similar commercial parts data
- 3+ years of experience in data stewardship, data management, or relevant domain expertise
- Demonstrated ability to write and optimize SQL queries for data extraction and analysis
- Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely
- Strong analytical and problem-solving abilities, with attention to detail
- Understanding of data governance principles and practices
Responsibilities
- Develop, maintain, and own business logic relative to the transformation and enrichment of parts data
- Ensure the accuracy, consistency, and completeness of parts data
- Develop and enforce data standards, policies, and procedures to maintain data integrity and compliance
- Perform data quality assessments and implement improvement plans to address identified issues
- Identify and evaluate potential data sources to enrich existing parts data, ensuring comprehensive and robust data sets
- Work closely with stakeholders across the organization to understand data requirements and provide support
- Maintain comprehensive documentation of data sources, definitions, and processes
- Utilize SQL to query, analyze, and extract data to support business needs
- Generate and present data reports and visualizations to support decision-making processes
- Provide training and support to team members on data-related topics and best practices
Preferred Qualifications
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Basic knowledge of Python programming for data manipulation and analysis
- Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field
- Familiarity with defense acquisition processes and related data sources
- Experience managing data-related projects and initiatives