Analyst II, Full Stack (Customer Servicing Analytics)

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Build and maintain forecasting models using time series, regression, and machine learning to support contact forecasting, headcount and license planning, and budgeting.
• 2
  Partner with stakeholders to frame planning and forecasting problems, develop supporting metrics and diagnostics, and support high-quality decisions.
• 3
  Surface productivity and efficiency improvements using budget and financial performance data.
• 4
  Present recommendations to leadership, drive timely decisions, and communicate clearly with cross-functional partners.
• 5
  Stay current on the business and our changing technical environment.

RequirementsAI-extracted

• Bachelor's, Master's, or PhD in a quantitative field and 5+ years solving forecasting, planning, or related quantitative problems.
• Strong proficiency in SQL and Python or R, and hands-on experience with a modern cloud-native data platform.
• Hands-on experience using AI/LLM tooling across the analytics workflow.
• Strong experience developing and validating statistical forecasting models, with disciplined approaches to performance measurement, backtesting, and robust error tracking.
• Proven ability to independently structure ambiguous problems and select the appropriate analytical approach without predefined direction.

Perks & BenefitsAI-extracted