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Master Data Analyst

Salary undisclosed

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**local candidates strongly preferred due to onsite requirement
**candidate must be able to come to Richmond, VA occasionally
**candidate must have experience working in data management as an analyst

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 Business Analysis and Testing Support 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 pain points
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
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 userstories 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
Perform Quality Analyst functions such as defining test objectives, test plans and test cases, and executing test cases
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
Experience organizing and maintaining Product and Sprint backlogs
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)
Experience with reporting systems operational data stores, data warehouses, data lakes, data marts
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 Business Analysis Professional (CBAP) and/or Certified Scrum Product Owner (CSPO) Certification
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.
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