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Master Data Analyst

This role is for a Master Data Analyst in Richmond, VA, with a 4-month contract and a hybrid work model. Requires 10 years of business analysis experience, 5 years in data management, and Agile expertise. Preferred: CDMP certification.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
3 to 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Richmond, VA
🧠 - Skills detailed
#Stories #Metadata #Documentation #Consul #MDM (Master Data Management) #Complex Queries #Data Review #Scrum #UAT (User Acceptance Testing) #Data Lifecycle #Agile #Business Analysis #Data Analysis #Datasets #Automated Testing #Data Management
Role description
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Location: Richmond, VA - local candidates only (within 50 miles)

Position Type: Hybrid, 3 days per week onsite

Contract Length: 4 months, likely extension

Position Overview:

The Master Data Analyst with extensive experience in data analytics and business data analysis. This onsite role requires strong analytical skills to support Agile and Waterfall SDLC methodologies, ensuring efficient data management, requirement documentation, and process improvement initiatives.

Required Skills:
• 10 years of experience delivering business and systems analysis artifacts such as Business Requirements Documentation (BRD), Requirements Traceability Matrix (RTM)
• 5 years of advanced experience in writing complex queries to analyze data
• 5 years of experience with enterprise data management, data analysis, and data lifecycle
• 5 years of experience as an Agile Business Analyst; strong understanding of Scrum concepts and methodology

Preferred Skills:
• Certified Data Management Professional (CDMP)
• Experience using Team Foundation Server and work item tracking
• Experience with automated testing tools such as Test Complete

Duties:
• 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