Vacancy caducado!
Company Description
pureIntegration, a technology consulting firm with 17+ years of experience servicing fortune 100 clients is seeking an Information Technology Business / Data Analyst (Data Quality). The ideal candidate must have outstanding communication and presentation skills, discuss technical details with engineers, and have a deep understanding of Data Quality best practices. The project resource will be responsible for analyzing Data Quality practices and tools and establishing a framework for the goal of obtaining organizational alignment on detecting data incidents and improving data quality. This will be a full-time role through the end of the year, with the possibility of extension into 2023. Location: Herndon, VA (Remote)Work Arrangement: 1099 Contract for a 3-4 month project, high possibility of extension into 2023Work Authorization: EAD, GC & USCIT only (We Do Not Sponsor H1B Visas, or work on C2C)Responsibilities:- Defining program(s) and associated project(s) to achieve our Data Quality (DQ) vision and business values
- Developing architectural framework templates (e.g., Enterprise data standards, business information model)
- Developing policy framework templates (e.g., data management, principles to enforce data standards)
- Defining Data Quality and Data Dictionary (DD) use case(s) and scoring strategies for selecting the appropriate tools
- Evaluating the use case(s) against the short-listed vendors of DQ and DD tools
- Benchmarking and selecting the optimal tools for DQ and DD
- Conducting training and knowledge transfer
- Bachelor's degree or master's degree in a quantitative field such as Computer Science and Information Systems, Database Management, Big Data, Data Engineering, Data Science, Applied Math, etc.
- 4 - 5 Years of experience in Business / Data Analysis related to Data Quality is required.
- Experience in developing architectural framework templates (e.g., Enterprise data standards, business information model)
- Experience in developing policy framework templates (e.g., data management, principles to enforce data standards)
- Experience in defining Data Quality and Data Dictionary (DD) use case(s) and scoring strategies for selecting the appropriate tools
- Experience in evaluating the use case(s) against the short-listed vendors of DQ and DD tools
- Experience in Benchmarking and selecting the optimal tools for DQ and DD