Own the lifecycle of forecasting models across various departments (e.g., Finance, Operations, Marketing).
Develop, back-test, validate, and deploy predictive models using statistical techniques such as time series analysis, regression, ARIMA, exponential smoothing, and related methods.
Define and monitor model performance metrics (e.g., MAPE, RMSE, bias); perform ongoing forecast-vs-actual analysis to identify drivers of variance and continuously improve accuracy.
Design scenario-based forecasts (best case, worst case, most likely) to support planning under uncertainty.
Write complex, highly optimized SQL queries (CTEs, window functions, advanced joins) to extract, transform, and aggregate data from the data warehouse.
Partner closely with Data Engineering to define data requirements, improve data quality, and ensure consistency of metrics used in forecasting.
Build and automate reliable data pipelines so forecasts are refreshed on a consistent and scalable cadence.
Design, build, and maintain executive-level dashboards in Looker to surface forecasts, trends, and key drivers.
Partner with functional leaders to understand business drivers, operational constraints, seasonality, and external market dynamics.

Requirements

5+ years of experience in Data Analytics, FP&A, Demand Planning, or Data Science, with a demonstrated focus on forecasting and predictive modeling.
Expert-level proficiency in SQL; advanced querying is second nature (CTEs, window functions, performance optimization).
Strong experience with Looker (dashboard development and LookML) or a comparable BI platform.
Deep understanding of time series concepts (trend, seasonality, cyclicality) and core statistical methods.
Proficiency in Python or R for advanced modeling and analysis (e.g., pandas, statsmodels, Prophet, scikit-learn).
Ability to clearly explain forecast changes, drivers, assumptions, and implications to non-technical stakeholders.
A natural instinct to investigate root causes and challenge assumptions.
Comfort owning ambiguous problems and making recommendations with incomplete information.
Ability to partner cross-functionally and elevate the technical maturity of teammates.

Benefits

401k with match
Flexible PTO
Paid holidays
4 week paid sabbatical
12 week paid parental leave
Health benefits starting on your first day
Opportunity to work with talented and experienced team members

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

forecasting modelspredictive modelingtime series analysisregressionARIMAexponential smoothingSQLPythonRLooker

Soft Skills

communicationproblem-solvinginvestigativecross-functional collaborationadaptabilityanalytical thinkingstakeholder engagementcritical thinkingdata-driven decision makingambiguity management