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Revenue Data Analyst Jobs (NOW HIRING)

Data Analyst

Manhattan, NY · Remote

$70K - $100K/yr

Analyze product, usage, and revenue data to uncover trends and insights. * Build dashboards and reports for metrics like conversion, retention, churn, and feature usage. * Run cohort analyses to ...

Data Analyst

Manhattan, NY · Remote

$70K - $100K/yr

Analyze product, usage, and revenue data to uncover trends and insights. * Build dashboards and reports for metrics like conversion, retention, churn, and feature usage. * Run cohort analyses to ...

Senior Data (Revenue Ops) Analyst

El Segundo, CA · On-site

$91K - $115K/yr

NEOGOV is seeking a highly skilled Senior Revenue Operations (Data) Analyst to join our Revenue Operations team and play a critical role in supporting the success of our Sales and Marketing ...

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Interpret complex financial data to identify trends for management; contribute to accounting ... Revenue Operations Analyst * Revenue Integrity Analyst. * Revenue Management Analyst * Revenue ...

Approximately 75% of this role is focused on data visualization and analytics using Power BI, with the remaining time dedicated to revenue operations strategy, process optimization, and sales ...

Your role As a Revenue Intelligence Analyst, you will turn Dialpad's revenue data into actionable insights, scalable reporting, AI-enabled automation, and decision support for the go-to-market ...

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Revenue Data Analyst information

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$29.5K

$76.3K

$127.5K

How much do revenue data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for revenue data analyst in the United States is $76,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $86,000.00 per year, depending on experience, location, and employer.

What does a Revenue Data Analyst do?

A Revenue Data Analyst is responsible for collecting, analyzing, and interpreting data related to a company's revenue streams. They use statistical tools and business intelligence software to identify trends, forecast future revenue, and provide actionable insights that help improve profitability. Their work often involves collaborating with finance, sales, and marketing teams to optimize pricing strategies and identify opportunities for growth. Ultimately, a Revenue Data Analyst plays a key role in supporting data-driven decision-making to maximize a company's financial performance.

What are the key skills and qualifications needed to thrive as a Revenue Data Analyst, and why are they important?

To thrive as a Revenue Data Analyst, you need strong analytical abilities, expertise in financial modeling, and a relevant degree such as finance, economics, or data science. Proficiency in data analysis tools like SQL, Excel, and BI platforms (such as Tableau or Power BI), along with experience in ERP or CRM systems, is typically required. Attention to detail, effective communication, and problem-solving skills help translate complex data into actionable business insights. These skills are essential to accurately interpret revenue trends, support strategic decision-making, and drive organizational growth.

How does a Revenue Data Analyst typically collaborate with finance and sales teams to drive business insights?

A Revenue Data Analyst works closely with both finance and sales teams by gathering, analyzing, and interpreting data related to revenue streams and sales performance. They often participate in cross-functional meetings to understand business goals and provide data-driven recommendations to optimize pricing strategies, forecast revenue, or identify growth opportunities. Effective communication and collaboration are essential, as analysts must translate complex data into actionable insights for non-technical stakeholders. This collaborative approach ensures that decisions are grounded in accurate, up-to-date analytics, ultimately supporting the company's financial objectives.

What is the difference between Revenue Data Analyst vs Sales Data Analyst?

AspectRevenue Data AnalystSales Data Analyst
Required CredentialsBachelor's in Finance, Economics, or Data Analytics; proficiency in SQL, Excel, BI toolsBachelor's in Business, Marketing, or Data Analytics; proficiency in SQL, Excel, BI tools
Work EnvironmentFinance departments, revenue management teams, data-driven rolesSales departments, marketing teams, customer analytics
Employer & Industry UsageFinancial services, SaaS, retail, industries focusing on revenue optimizationRetail, manufacturing, B2B sales, industries emphasizing sales performance

The main difference between a Revenue Data Analyst and a Sales Data Analyst lies in their focus areas. Revenue Data Analysts primarily analyze data related to overall revenue streams, financial performance, and revenue growth strategies. In contrast, Sales Data Analysts concentrate on sales performance metrics, customer acquisition, and sales trends. Both roles require similar skills and tools but serve different strategic functions within organizations.

More about Revenue Data Analyst jobs
What are the most commonly searched types of Revenue Data Analyst jobs? The most popular types of Revenue Data Analyst jobs are:
What states have the most Revenue Data Analyst jobs? States with the most job openings for Revenue Data Analyst jobs include:
Infographic showing various Revenue Data Analyst job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,256 per year, or $36.7 per hour.
MID REVENUE CYCLE SENIOR DATA ANALYST

MID REVENUE CYCLE SENIOR DATA ANALYST

H. Lee Moffitt Cancer Center

Tampa, FL • On-site

Full-time

Posted 8 days ago


Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

70th of 870 rated healthcare providers


Job description

The Mid Revenue Cycle Senior Data Analyst performs analytics and advanced reporting related to clinical and financial data to support the Mid Revenue Cycle area initiatives- Health Information Management and Revenue Integrity. The position utilizes data and tools to champion a high-performance departmental culture driven by key indicators, people development and customer relationship management. This position assists in training/onboarding of new Mid Revenue Data Analyst team members. In addition, the position performs complex analytics to support new initiatives as directed by the department leadership.

Responsibilities:

  • Reporting and Analytics
  • Utilization of data analysis results for continuous process improvement
  • Performance Management
  • Data presentation and reporting of trends
  • Relationship Management
  • Training/onboarding
  • Other duties as assigned

Credentials and Qualifications Required:

  • Bachelor's Degree in Healthcare/business related discipline 
  • Demonstrated four (4) years of experience with clinical coding or charge capture or charge description master (CDM) support roles. Experience with hospital business operations, information systems and data analytics, creation of dashboards and data visualization is required.
    (OR)
    An Associates degree and two (2) years of additional relevant data analytics experience on top of the four (4) years required (for a total of 6 years) will be considered in lieu of the bachelor degree
    (OR)
    A High School Diploma and four (4) years of additional relevant data analytics experience on top of the four (4) years required (for a total of 8 years) will be considered in lieu of the bachelor degree

Minimum Skills/Specialized Training Required
• Clear understanding of revenue cycle applications, including electronic health records
• Knowledge of revenue codes, ICD-10 diagnosis and Procedure Coding System codes, Current Procedural Terminology/Healthcare Common Procedure Coding Systems and modifiers

• Experience executing CDM/charge capture analysis and presenting reports to different levels of the
organization
• In-depth knowledge of patient management information system applications
• Excellent ability to use spreadsheet, word processing, statistical, project management, and presentation
software applications, preferably Microsoft Suite (Access, Excel, PowerPoint, Project, Word)
• Ability to execute strategy, communicate knowledge of business processes and enable technologies to
produce results
• Ability to manage own schedule and responsibilities. Must have initiative to work effectively without
constant supervision and direction in order to meet all deadlines
• Ability to work concurrently on a variety of tasks/projects in a fast-paced environment with identified
productivity requirements and with individuals having diverse personalities and work styles
• High-level problem identification/ mitigation/ resolution, analytical and financial skills
• Ability to research, understand, and interpret billing and documentation regulations


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