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Revenue Data Analyst Jobs (NOW HIRING)

Support the Revenue Cycle team with other duties as assigned. Education and Experience * Must possess a 4-year degree, preferably in Data Science, Statistics, Healthcare Analytics or related fields ...

This position is responsible for analyzing and maintaining revenue data, assisting with credit evaluations, preparing financial reporting, and ensuring accurate revenue recognition. The analyst ...

... revenue and growth. Data Analyst will be responsible for driving data driven insights from operational data (booked, flown, contract and sales team metrics from Salesforce, Customer data including ...

... Revenue & Margin Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis, Reporting Automation Basics, Documentation, Stakeholder Communication

... Revenue & Margin Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis, Reporting Automation Basics, Documentation, Stakeholder Communication

A Sr. Revenue Analyst at LogicMonitor's role is to own and execute key aspects of the revenue recognition function while driving automation, scalability, and data-driven insights across the ...

You will analyze data to understand business and market trends in order to increase company revenue and efficiency. Responsibilities: Use data to understand business patterns and trends Analyze ...

You will analyze data to understand business and market trends in order to increase company revenue and efficiency. Responsibilities: * Use data to understand business patterns and trends * Analyze ...

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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.
Data Analyst I - Revenue Cycle

Data Analyst I - Revenue Cycle

WellDyne

Lakeland, FL

Full-time

Posted 7 days ago


WellDyne rating

6.0

Company rating: 6.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

At our company, we move fast, adapt quickly, and turn challenges into opportunities—all while keeping quality at the heart of everything we do. We believe that work should be a positive and respectful place, and that with the right mindset, anything is achievable.
Our Vision:
Fulfill the essential promise of pharmacy care and help people to live to their healthiest, happiest, and fullest potential.
Our Mission:
To be the disruptive force that drives meaningful change within pharmacy services.
Summary:
This position is responsible for various billing functions on the Revenue Cycle team. Knowledge of Revenue Cycle within a pharmacy would be extremely helpful in this role. Knowledge of SQL queries and database structure is required to be successful in this role. This position requires the ability to prioritize, plan, and complete tasks in a timely manner.
Essential Duties amp; Responsibilities:
  • Complete weekly billing functions for certain outsourced services arrangements
  • Evaluate all billing processes for process improvement opportunities to improve efficiency and accuracy.
  • Research and provide prompt and courteous follow-up for client related billing questions and/or reporting requests.
  • Assist in the semi-monthly PBM Billing process, as needed.
  • Complete the weekly, semi-monthly, and monthly HealthDyne Billing Process, as needed.
  • Create and distribute other Invoices as needed.
  • Advanced planning skills; must have the ability to manage tasks to successful timely conclusions.
  • Assist in developing analytics dashboard to highlight trends in PBM and other functions.
  • Support the Revenue Cycle team with other duties as assigned.
Education and Experience
  • Must possess a 4-year degree, preferably in Data Science, Statistics, Healthcare Analytics or related fields, with proven quantitative experience.
  • 1-3 years of work experience
  • PBM, healthcare, pharmaceutical experience preferred.
Knowledge, Skills, and Abilities
  • High proficiency in Microsoft SQL, R, or other data analysis tools.
  • Python experience preferred.
  • Microsoft Excel and Visual Studio experience preferred.
  • Excellent analytical and critical thinking skills
  • Intermediate understanding of Tableau or other data visualization tools
  • Advanced diligence, keeping in mind the “big picture”
  • Ability to analyze and interpret data based on results.
  • Excellent written and verbal communication skills
  • Ability to listen and understand information and ideas that are presented verbally.
Work Environment / Physical Demands
This position is in both a typical office environment which requires prolonged sitting in front of a computer and in an external environment where travel is required. Requires hand-eye coordination and manual dexterity sufficient to operate standard office equipment including operation of standard computer and phone equipment. May have occasional high stress when dealing with customers/clients. Minimal travel could be required.
EOE M/F/D/V