Business Data Analyst

Subject: VDOT - Master Data Analyst - Hybrid (750283)

Hybrid

Richmond, VA

Both Web Cam and In Person Interview

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

• 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