Job ID: 798838
Position: Data Analyst 4
Location: 1220 Bank Street Richmond Virginia(Remote)
Client: DBHDS
Duration: 02+ Months(Possibility of Extension)
Deadline to submit - by 4pm EST on Tuesday 4/14
Pls note: This is a time sensitive role that has a tight timeline. They can choose to work full time (or part-time, 20 hrs/week) until the work is completed. If they work 40 hrs /week then the work could finish sooner and the engagement may end sooner. At this time it is slated to go to 6/30/26 (at the latest). Please confirm that you explained to your candidate that this is expected to be a SHORT TERM engagement and they understand and agreed to that arrangement if selected bf submitting them.

• Even though this is also a DA role, this role has different responsibilities than req# 798840. Pls read carefully bf submitting your candidates. If your candidate is qualified and interested in doing either role, submit them to both.
  

About The Role
This engagement focuses on converting the BugTrack issue‑management Excel extract into a comprehensive, interactive Power BI dashboard for leadership visibility and operational decision‑making. The consultant will collaborate with the business, HIT, IT, and operational teams to define reporting requirements and translate them into a scalable data model and intuitive visualizations. Metrics will include (but are not limited to) total tickets opened/closed, aging of open tickets, ticket type and category distribution, priority trends, facility‑level insights, EPMO‑related tickets, and a dedicated AVATAR ticket dashboard (opened, closed, maintenance). The consultant will build automated refresh processes, apply data‑quality checks, and deliver a polished dashboard ready for leadership review. The resource may also be engaged in other Power BI work related to DBHDS as it arises if time in needed.
Key Tasks

• Conduct requirements workshops with the business, HIT, IT, and operational stakeholders
• Review and validate the BugTrack Excel extract structure
• Build a Power BI data model optimized for large datasets
• Develop visualizations for ticket volume, aging, type, category, priority, facility, and AVATAR metrics
• Create filters, drill‑downs, and role‑based views
• Establish refresh logic and data‑quality validation steps
• Iterate with stakeholders to refine usability and accuracy
• Mentor and train DBHDS identified SMEs for long-term maintenance
• Create and develop documentation supporting the dashboards
  

Deliverables

• Requirements document and dashboard mockups
• Power BI data model and transformation scripts
• Fully developed BugTrack dashboard with leadership‑ready visuals
• Documentation for refresh processes and data definitions
• Knowledge‑transfer session with internal staff
  

Milestones

• Week 1-3: Requirements gathering & data review
• Week 4-8: Data modeling & initial dashboard build
• Week 9-10: Stakeholder review & refinement
• Week 11-12: Final dashboard delivery & documentation

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