Lead Financial Analyst

Guild Education, Inc.; United States; On-site; USD 120,000 - 180,000; Full time

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

To scale the impact of the Forecasting and Financial Analytics team, the full-time Lead Financial Analyst will develop and enhance usage-based forecasting models, improve forecast accuracy, and collaborate cross-functionally to optimize data systems and infrastructure.

Key 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

Required 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