Overview
On Site
$60 - $65
Accepts corp to corp applications
Contract - Independent
Contract - 12 Month(s)
Skills
Acceptance Testing
Agile
Automated Testing
Business Data
Business Process
Data Analysis
FOCUS
Data Flow
Data Management
Management
Mapping
Master Data Management
Word
Excel
Access
Outlook
Visio
PowerPoint
Project Server
Process Improvement
Prototyping
Scrum
Semantics
Software Development
Testing
Sprint
Waterfall
User Stories
Job Details
Title: Master Data Analyst (766007)
Duration: 12 Months
Location: Richmond, VA 23219
Note: Onsite role and onsite interview
Job Description:
- The Virginia Department of Transportation (VDOT) Business Integrated Solutions Division (BISD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of the Data Management team. This analyst will support teams working in Agile (Sprint) as well as traditional Waterfall methodologies for Software Development Lifecycle (SDLC).
- Responsibilities include analyzing problems; documenting business processes and data lifecycle; developing data requirements, user stories and acceptance criteria; and testing. VDOT is a fast-paced organization with very high standards for work quality and efficiency. This position is expected to handle multiple projects, and remain flexible and productive, despite changing priorities and processes. Ongoing improvement and efficiency are a part of our culture, and each team member is expected to proactively contribute to process improvements.
Responsibilities:
- Work with the Project team members and business stakeholders to understand business processes and data flows
- Develop expertise in the customers datasets and data lifecycle
- Profile source data; review source data and compare content and structure to dataset requirements; identify conflicts and determine recommendations for resolution
- Conduct entity resolution to identify matching and merging and semantic conflicts
- Conduct data attribute mapping back to the data source
- Elicit, record, and manage metadata
- Diagram current processes and proposed modifications using process flows, context diagrams and data flow diagrams
- Discover and document requirements and user stories with a focus on improving both business and technical processing
- Decompose requirements into Epics and Features and create clear and concise user stories that are easy to understand and implement by technical staff
- Utilize progressive elaboration; map stories to data models and architectures to be used by internal staff to facilitate master data management
- Identify and group related user stories into themes, document dependencies and associated business processes
- Assist Product Owner in maintaining the product backlog
- Create conceptual prototypes and mock-ups
- Collaborate with staff, vendors, consultants, and contractors as they are engaged on tasks to formulate, detail and test potential and implemented solutions
- Coordinate and Facilitate User Acceptance Testing with Business and ensure Project Managers/Scrum Masters are informed of the progress
Qualifications
Required:
- The candidate must have a minimum of 10 years of experience delivering business data analysis artifacts
- 5+ years of experience as an Agile Business Analyst; strong understanding of Scrum concepts and methodology
- 5+ year of experience writing complex queries to analyze data
- Experience translating client and product strategy requirements into dataset requirements and user stories
- Proficient with defining acceptance criteria and managing acceptance process
- Experience with enterprise data management
- Expertise with Microsoft Office products (Word, Excel, Access, Outlook, Visio, PowerPoint, Project Server)
- The candidate must have exceptional written and oral communications skills and have the proven ability to work well with a diverse set of peers and customers
Preferred:
- Certified Data Management Professional (CDMP)
- Experience using Team Foundation Server and work item tracking
- Experience with automated testing tools such as Test Complete
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.