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

Matlen Silver
Stafford, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Stafford, United States of America

Tech stack

Microsoft Excel
Information Engineering
Machine Learning
Power BI
SQL Databases
Data Analytics

Job description

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

Requirements

  • 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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