Data Analyst | ONSITE | W2 | USC/GC | Stafford, TX |

Matlen Silver
Stafford, TX

Job Title: Data Analyst (Excel, PowerBi, Capacity Planning & Forecasting)
Location Stafford, TX (Onsite)
Local candidates preferred
Employment Type Contract
Work Authorization US Citizens / Green Card holders only
(Client requirement – no C2C, no sponsorship)

About the Role:
We are seeking a hands-on Data Analyst to support a high-visibility, business-critical initiative focused on capacity planning, forecasting, and operational analytics. This role supports day-to-day decision-making in a high-volume, structured data environment.
This is a true Data Analyst role — not Data Science, not Machine Learning engineering, and not Data Engineering.
Key Responsibilities
  • Analyze historical and recurring data to forecast volume and workload
  • Build and maintain capacity planning models
  • Develop complex Excel-based forecasting and scenario models
  • Create and enhance Power BI dashboards and operational reports
  • Analyze distribution of volume across sites
  • Support business stakeholders with actionable insights
  • Work closely with onshore analysts and offshore teams (ML models handled elsewhere)
  • Operate confidently in a high-visibility environment
Required Skills & Experience
  • 3–5 years of experience as a Data Analyst or similar role
  • Strong expertise in Advanced Excel (forecasting, modeling, pivots)
  • Experience with Power BI (dashboards, reporting)
  • Strong analytical and problem-solving skills
  • Experience working with structured, high-volume data
  • Understanding of machine learning concepts (collaboration-level; no model building required)
  • Excellent communication and stakeholder-facing skills
Nice to Have
  • Capacity planning or demand forecasting experience
  • Experience in high-volume environments (manufacturing, healthcare, financial services, etc.)
  • SQL for data extraction and analysis
Additional Notes
  • This is a contract position with high visibility
  • Potential for conversion depending on performance and business needs
  • Budget may be flexible based on experience and location
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