

Master Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Master Data Analyst in Richmond, VA, for 11+ months at a pay rate of "TBD." Requires 10+ years in data analysis, 5+ years in Agile, and strong skills in data management and complex queries. Onsite 3 days/week.
π - Country
United States
π± - Currency
Unknown
-
π° - Day rate
-
ποΈ - Date discovered
June 22, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Richmond, VA
-
π§ - Skills detailed
#Data Lifecycle #Metadata #Stories #MDM (Master Data Management) #Strategy #UAT (User Acceptance Testing) #Scrum #Automated Testing #Complex Queries #Datasets #Data Analysis #Data Review #Data Management #Business Analysis #Agile
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Job Title: Master Data Analyst Location: Richmond, VA (Candidate must be able to work onsite 3 days a week.) Duration: 11+ Months Note:
β’
β’ local candidates strongly preferred due to onsite requirement
β’
β’ candidate must have experience working in data management as an analyst Job Description: The Client 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
Client 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