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Revenue Analytics Jobs in Georgia (NOW HIRING)

Revenue Analytics

Data Scientist

Atlanta, GA

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

Revenue Analytics

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Founded in 2005, we combine deep expertise in revenue management with ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

Revenue Analytics

Senior Software Engineer

Atlanta, GA

$117K - $155K/yr

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Founded in 2005, we combine deep expertise in revenue management with ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

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Revenue Analytics information

See Georgia salary details

$29.6K

$81.5K

$141K

How much do revenue analytics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for revenue analytics in Georgia is $81,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $90,800.00 per year, depending on experience, location, and employer.

What does someone in revenue analytics do?

Professionals in Revenue Analytics spend their days analyzing sales and financial data, building revenue forecasts, identifying trends, and generating reports to support business objectives. They often collaborate with cross-functional teams such as sales, marketing, and finance to align strategies and provide insights that inform decision-making. Additionally, they may be responsible for monitoring pricing strategies, tracking key performance indicators, and recommending process improvements. This role is both data-driven and collaborative, offering a dynamic work environment for those who enjoy solving business challenges through analytics.

What is a revenue analyst job?

A revenue analyst is responsible for analyzing a company's revenue streams, forecasting future revenue, and identifying opportunities to maximize income. They use data analysis tools and financial models to support strategic decision-making and often collaborate with sales, marketing, and finance teams.

What are the key skills and qualifications needed to thrive in revenue analytics?

To excel in Revenue Analytics, you need strong analytical skills, proficiency in financial modeling, and a background in business, finance, economics, or a related field. Familiarity with tools such as Microsoft Excel, SQL, Tableau, and experience with CRM or ERP systems are commonly required, and a certification in data analytics or finance is a plus. Attention to detail, strong communication skills, and the ability to present complex data effectively are valuable soft skills for this role. These competencies are critical to translating data into actionable insights and driving effective revenue strategies for the organization.

What is revenue analytics?

A Revenue Analytics job focuses on analyzing financial data, pricing strategies, and market trends to optimize revenue generation. Professionals in this role use data-driven insights to forecast sales, improve pricing models, and identify growth opportunities. They work closely with finance, marketing, and sales teams to enhance profitability and operational efficiency. Strong analytical skills, proficiency in tools like SQL, Excel, and BI platforms, and a deep understanding of business metrics are essential for success in this role.

What is a revenue analytics job description?

A revenue analytics job involves analyzing data to assess and improve a company's revenue performance. Responsibilities include interpreting sales and financial data, creating reports, and providing insights to support strategic decision-making, often using tools like Excel, SQL, or BI software. Strong analytical skills and understanding of financial metrics are essential for this role.
What are the most commonly searched types of Revenue Analytics jobs in Georgia? The most popular types of Revenue Analytics jobs in Georgia are:
What are popular job titles related to Revenue Analytics jobs in Georgia? For Revenue Analytics jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Revenue Analytics jobs in Georgia look for? The top searched job categories for Revenue Analytics jobs in Georgia are:
What cities in Georgia are hiring for Revenue Analytics jobs? Cities in Georgia with the most Revenue Analytics job openings:
Revenue Analytics jobs near you
Infographic showing various Revenue Analytics job openings in Georgia as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,510 per year, or $39.2 per hour.

Data Scientist

Revenue Analytics

Atlanta, GA

$95K - $110K/yr

Full-time

Re-posted 16 days ago

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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