Lead Forecasting & Analytics Architect

Guild Education, Inc.

United States

On-site

USD 120,000 - 180,000

Full time

8 days ago

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Job summary

Guild Education, Inc. is seeking a Lead Financial Analyst to scale forecasting and analytics capabilities. The role focuses on usage-based forecasting models, improving forecast accuracy, and cross-functional collaboration to optimize data systems and infrastructure.

You will mentor junior team members, backtest models, and translate forecast drivers into actionable insights for stakeholders. Proficiency in SQL, Python or R, and platforms like Databricks, Looker or Tableau is essential.

Qualifications

  • 5+ years of experience in analytics, data science, forecasting, or financial planning & analysis.
  • Strong experience with SQL and transforming large datasets into reusable formats.
  • Proficiency in Python and/or R, particularly in time-series and machine learning forecasting methods.
  • Experience operationalizing models with backtesting and validation on platforms like Databricks.
  • Familiarity with data visualization tools such as Looker or Tableau.

Responsibilities

  • Develop and enhance usage-based forecasting models using advanced statistical and machine learning techniques.
  • Raise forecast accuracy and shorten the monthly refresh cycle through rigorous backtesting and experimentation.
  • Mentor junior team members and produce insights to help stakeholders understand forecast drivers and impacts.

Skills

Forecasting
Analytics
Data science
Financial planning
Financial analysis

Tools

SQL
Python
R
Databricks
Looker
Tableau

Job description

Guild Education, Inc. is seeking a Lead Financial Analyst to scale forecasting and analytics capabilities. The role focuses on usage-based forecasting models, improving forecast accuracy, and cross-functional collaboration to optimize data systems and infrastructure.

You will mentor junior team members, backtest models, and translate forecast drivers into actionable insights for stakeholders. Proficiency in SQL, Python or R, and platforms like Databricks, Looker or Tableau is essential.

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