> Markdown version of [/jobs/ext/2560732-sr-data-analyst](https://www.wearedevelopers.com/jobs/ext/2560732-sr-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr Data Analyst

- **Company:** PRESTIGE STAFFING INC
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $125,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Big Data, Data Visualization, Python (Programming Language), SQL Databases, Prophet, Yield Optimization, Optimization Algorithms
- **Published:** August 25, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pecgjq4dhi

## About the Role

* 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

## Description

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., * 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


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)

## Related Articles

- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)