Data – Revenue & Experimentation

We are looking for a Data Analyst with 3+ years of experience in revenue analytics, experimentation, and statistical modeling. This role will drive data-informed decisions through A/B testing, regression analysis, and forecasting models to optimize pricing, revenue, and business performance.

Key Responsibilities

• Build and analyze datasets using SQL and Python

• Design and evaluate A/B tests (including power analysis)

• Develop regression and time-series forecasting models

• Track KPIs such as contribution margin, price-volume-mix, and forecast accuracy

• Build dashboards and automate reporting for stakeholders

Requirements

• Strong SQL and Python (Pandas, NumPy, Scikit-learn)

• Hands-on experience with regression, hypothesis testing, and forecasting

• Experience with BI tools (Power BI, Tableau, etc.)

• Strong analytical and problem-solving skills