Senior Data Analyst: Data Systems & Governance

Advantage Technical

Plano (TX)

On-site

USD 90,000 - 115,000

Full time

12 days ago
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Job summary

Staffmark Workforce Solutions is seeking a Sr. Data Analyst in Plano, TX to manage company-wide data systems and drive data governance initiatives.

The role requires 5–7 years of data/systems analysis experience and strong skills in Excel and BI tools such as Tableau, Data Cubes, and SAP BI. Collaboration across internal and external teams is essential to deliver data-driven solutions.

Qualifications

  • Bachelor’s degree in a technical field, Finance, Information Systems, Engineering, or related field required.
  • MBA or other related advanced degree preferred.

Responsibilities

  • Manage company-wide data systems and related projects, supporting data governance for the business.
  • Collaborate with partner teams to drive results across the company, defining company technical requirements for systems and processes for development and/or enhancement.
  • Identify root causes of problems and use data-driven approaches to develop and implement new business processes and solutions.
  • Conduct analysis, interpret technical documents and processes, and draw valid conclusions regarding user needs and business requirements.
  • Provide technical guidance; develop and update user documentation, written instructions, training guides, and manuals; meet with users to provide information regarding system changes and enhancements.

Skills

Data analysis
Excel analytics
Tableau
Data Cubes
SAP BI
Communication
Project management

Education

Bachelor’s degree in a technical field (BA/BS)
MBA or related advanced degree preferred

Tools

Tableau
Data Cubes
SAP BI

Job description

Staffmark Workforce Solutions is seeking a Sr. Data Analyst in Plano, TX to manage company-wide data systems and drive data governance initiatives.

The role requires 5–7 years of data/systems analysis experience and strong skills in Excel and BI tools such as Tableau, Data Cubes, and SAP BI. Collaboration across internal and external teams is essential to deliver data-driven solutions.

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