Data & Analytics Project Manager | Agile & Waterfall

Ethereum Technologies LLC

Raleigh (NC)

On-site

USD 93,000 - 133,000

Full time

25 hours ago
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Job summary

Ethereum Technologies in Raleigh, NC seeks a dedicated Project Manager of Data & Analytics to lead the delivery of a 9-month data initiative. You will manage the project using waterfall and Scrum/Agile methods, align scope with leadership, and coordinate data engineering, reporting, and QA teams.

The role requires strong BI experience, familiarity with Azure, Databricks, Microsoft Fabric, Power BI, and tools like Azure DevOps or Jira.

Qualifications

  • Experience with waterfall and Scrum/Agile delivery, including hybrid approaches.
  • Experience with data analytics lifecycle: data warehousing, ETL/ELT, BI reporting, and validation.
  • Familiar with Azure, Databricks, Microsoft Fabric, Power BI; tools like Azure DevOps or Jira.
  • Strong stakeholder management, communication, and facilitation.
  • 2+ years in Business Intelligence (BI).

Responsibilities

  • Own overall project delivery, cadence, schedule, and quality of work products.
  • Develop and maintain charter, plan, schedule, and release roadmap using waterfall and manage backlog with Scrum/Agile.
  • Facilitate sprint ceremonies and coordinate work across data engineering, reporting, and QA teams.
  • Manage risks, issues, dependencies, and change requests; elevate blockers.
  • Track progress, hours, and budget; provide weekly status reports and dashboards.
  • Coordinate testing, user acceptance, release, cutover, and close with hand-off and lessons learned.

Skills

Waterfall & Agile delivery
Stakeholder management
Communication
Facilitation
BI experience

Tools

Azure DevOps
Jira
Power BI
Databricks
Microsoft Fabric

Job description

Ethereum Technologies in Raleigh, NC seeks a dedicated Project Manager of Data & Analytics to lead the delivery of a 9-month data initiative. You will manage the project using waterfall and Scrum/Agile methods, align scope with leadership, and coordinate data engineering, reporting, and QA teams.

The role requires strong BI experience, familiarity with Azure, Databricks, Microsoft Fabric, Power BI, and tools like Azure DevOps or Jira.

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