Sr Data Analyst

Prestige Staffing; Atlanta (GA); Hybrid; USD 125,000 - 160,000; Full time

Benefits offered by this job

Competitive salary and equity options

Comprehensive medical, dental, and disability insurance

401(k) match up to 4%

Hybrid work environment with flexible scheduling

15 personal days plus 10+ public holidays

Monthly health and wellness stipend

Collaboration-friendly office culture

Job summary

A leading staffing agency is seeking an experienced Senior Data Analyst for their Atlanta office. This role focuses on forecasting and yield optimization, requiring 5–8 years of experience in data science. You'll develop models to maximize performance, integrate large datasets, and provide actionable insights across teams. The ideal candidate will excel in SQL and Python, and enjoy a hybrid work environment with competitive pay and various benefits.

Qualifications

• 5–8 years of professional experience in data science, forecasting, or yield management.
• Expertise in time series forecasting techniques like ARIMA, Prophet, Neural Networks.
• Proficiency in SQL, Python, and/or R for data analysis and modeling.

Responsibilities

• Develop and refine forecasting models to predict outcomes by hotel, publisher, and time period.
• Build yield optimization frameworks to allocate publisher inventory efficiently.
• Deliver reporting and insights to guide decision-making across teams.

Skills

Data science expertise

Time series forecasting techniques

Proficiency in SQL

Proficiency in Python

Strong communication skills

Ability to partner with teams

Job description

Senior Data Analyst – Forecasting & Yield Optimization

Pay $125,000 - $160,000 annually, dependent on experience and location

Location New York City, or Atlanta

Summary We are seeking an experienced Senior Data Analyst with 5–8 years of expertise in forecasting and yield management to develop models that maximize performance across our publisher network. This role involves predicting attribution outcomes, optimizing inventory yield, and delivering actionable insights through advanced analytics and visualization tools. The ideal candidate will collaborate with cross‑functional teams to embed models into the platform, contributing directly to revenue growth and operational efficiency in the hospitality and travel adtech space.

Requirements

• 5–8 years of professional experience in data science, forecasting, or yield management
• Expertise in time series forecasting techniques (ARIMA, Prophet, Neural Networks) and optimization algorithms
• Proficiency in SQL, Python and/or R for data analysis and modeling
• Experience integrating large datasets from multiple sources, including attribution and performance metrics
• Strong communication skills to translate technical outcomes into business impact
• Ability to partner effectively with product, engineering, and business teams

Responsibilities

• Develop and refine forecasting models to predict attribution outcomes by hotel, publisher, and time period
• Build yield optimization frameworks to allocate publisher inventory efficiently and maximize client ROI
• Integrate data from attribution, publisher metrics, seasonality, and external signals for comprehensive analysis
• Deliver reporting and insights to guide decision‑making across teams
• Create dashboards and visualizations to present data findings clearly to non‑technical stakeholders
• Collaborate with product and engineering teams to embed models into the platform for scalable deployment

Benefits

• Competitive salary and equity options
• Comprehensive medical, dental, and disability insurance
• 401(k) match up to 4%
• Hybrid work environment with flexible scheduling
• 15 personal days plus 10+ public holidays
• Monthly health and wellness stipend
• Casual, collaborative, and dog‑friendly office culture in the heart of Flatiron or remote work options