Senior Data Analyst: Forecasting & Yield Optimization (Hybrid)

Curacity; United States; Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Stock options for full-time employees

Comprehensive medical and dental insurance

Hybrid work flexibility

$100 monthly stipend for wellness activities

Casual work environment with cold brew coffee on tap

Job summary

A leading media brand network in the United States is seeking an experienced Senior Data Analyst for Forecasting and Yield Optimization. This role involves building models that enhance performance across their publisher network, focusing on optimizing strategies for hotel revenues. Ideal candidates should have 5-8 years in data science with strong expertise in timeseries forecasting and SQL proficiency. This position offers a hybrid work model and competitive compensation.

Qualifications

• 5–8 years of professional experience in data science, forecasting, or yield management roles.
• Experience in timeseries forecasting techniques such as ARIMA or LSTM.
• Proficiency in SQL for data querying and wrangling.

Responsibilities

• Build yield optimization frameworks to maximize ROI for hotels.
• Integrate data from multiple sources to support decision making.
• Apply advanced methods like timeseries forecasting and clustering.

Skills

Timeseries forecasting

Data science

Optimization techniques

SQL proficiency

Strong communication skills

Tools

Looker Studio

Tableau

AWS

GCP

Azure

Snowflake

Job description

A leading media brand network in the United States is seeking an experienced Senior Data Analyst for Forecasting and Yield Optimization. This role involves building models that enhance performance across their publisher network, focusing on optimizing strategies for hotel revenues. Ideal candidates should have 5-8 years in data science with strong expertise in timeseries forecasting and SQL proficiency. This position offers a hybrid work model and competitive compensation.