Senior Data Analyst - Hybrid

Title: Senior Data Analyst - Hybrid

Location: Richmond, VA, United States

Length: Long term

Restriction: W2 or C2C

Description:

** **Long term*** ***Hybrid*** ***In person interview*** ***Locals to VA***

Hybrid Schedule - Candidate must be able to work onsite 3 days a week.

**local candidates strongly preferred due to onsite requirement

**candidate must have experience working in data management as an analyst

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

Required Skills

Delivering business and systems analysis artifacts such as Business Requirements Documentation (BRD), Requirements Traceability Matrix (RTM) 10 years

Advanced experience in writing complex queries to analyze data 5 years

Experience with enterprise data management, data analysis, and data lifecycle 5 years

Agile Business Analyst; strong understanding of Scrum concepts and methodology 5 years