Senior Revenue Forecasting Analyst

AmSpec Group

Pasadena (TX)

On-site

USD 85,000 - 120,000

Full time

10 days ago

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Job summary

AmSpec Group in Pasadena, TX is seeking a Senior Analyst to own and enhance revenue and cost forecasting models. You will work with large datasets to project business outcomes and partner with leadership to translate analysis into clear recommendations.

You will build reports and dashboards for non-technical stakeholders, document data sources and model logic, and help improve data pipelines to ensure accuracy and repeatability across forecasting efforts.

Qualifications

  • Bachelor’s degree or equivalent experience in a quantitative field.
  • 4–6 years of experience in data analysis.
  • Proficiency in Python (pandas) or R.
  • Strong SQL skills (joins, aggregations, window functions).
  • Advanced Excel skills (formulas, pivot tables, scenario modeling).
  • Solid understanding of statistics (variance, regression).
  • Experience handling large datasets and clear written communication.

Responsibilities

  • Clean, validate, and transform large datasets for analysis.
  • Own and maintain revenue and cost forecasting models.
  • Create reports and dashboards for non-technical stakeholders.
  • Document data sources, assumptions, and model logic for repeatability.
  • Flag data quality issues and help improve data pipelines.

Skills

Python (pandas)
R
SQL
Excel
Statistics
Data analysis
Communication

Education

Bachelor’s degree in data science, statistics, economics, finance, CS, mathematics, or related field

Tools

Power BI
Tableau
Looker
Git

Job description

AmSpec Group in Pasadena, TX is seeking a Senior Analyst to own and enhance revenue and cost forecasting models. You will work with large datasets to project business outcomes and partner with leadership to translate analysis into clear recommendations.

You will build reports and dashboards for non-technical stakeholders, document data sources and model logic, and help improve data pipelines to ensure accuracy and repeatability across forecasting efforts.

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