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Revenue Data Analyst Jobs (NOW HIRING)

Responsibilities As a Revenue Operations Data Analyst at InnovAge, you will own and scale our analytics capability across sales, marketing, and enrollment operations. This role is responsible for ...

Revenue Operations Data Analyst

Denver, CO ยท On-site +1

$103K - $130K/yr

Responsibilities As a Revenue Operations Data Analyst at InnovAge, you will own and scale our analytics capability across sales, marketing, and enrollment operations. This role is responsible for ...

Success is measured by accuracy, timeliness, automation, data integrity and standards adherence ... Provide timely, accurate revenue analysis and ad-hoc reporting to the Sales Team and/or Operations ...

Success is measured by accuracy, timeliness, automation, data integrity and standards adherence ... Provide timely, accurate revenue analysis and ad-hoc reporting to the Sales Team and/or Operations ...

Success is measured by accuracy, timeliness, automation, data integrity and standards adherence ... Provide timely, accurate revenue analysis and ad-hoc reporting to the Sales Team and/or Operations ...

Success is measured by accuracy, timeliness, automation, data integrity and standards adherence ... Provide timely, accurate revenue analysis and ad-hoc reporting to the Sales Team and/or Operations ...

... data across the company. This analyst role will provide a direct, embedded partnership to the Revenue Operations (RevOps) group. You will: * Support quota and attainment reporting, giving RevOps ...

Success is measured by accuracy, timeliness, automation, data integrity and standards adherence ... Provide timely, accurate revenue analysis and ad-hoc reporting to the Sales Team and/or Operations ...

Ensure data accuracy and consistency across all revenue systems (CRM, billing, product analytics, etc.) * Create board-ready reporting packages for executive leadership * Establish and document data ...

Ensure data accuracy and consistency across all revenue systems (CRM, billing, product analytics, etc.) * Create board-ready reporting packages for executive leadership * Establish and document data ...

Ensure data accuracy and consistency across all revenue systems (CRM, billing, product analytics, etc.) * Create board-ready reporting packages for executive leadership * Establish and document data ...

As a Data Analyst on the Sales Analytics team, you will provide crucial support in areas such as data quality assurance, revenue funnel analysis, and report/dashboard generation. Your ...

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 ...

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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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.

Revenue Analysis Supervisor

Neo Industries Alabama, Inc.

Decatur, AL โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description: The Revenue Analysis Supervisor plays a critical role in analyzing and interpreting revenue data to drive strategic decision-making. This position requires a highly analytical individual with strong financial modeling and data analysis skills. The supervisor will oversee revenue reporting, forecasting, and variance analysis, ensuring accuracy and providing insightful recommendations.

They will also be responsible for budgeting and financial planning , utilizing their SQL and Python skills to extract, manipulate, and analyze large datasets. The ideal candidate will possess strong communication and presentation skills, capable of conveying complex financial information clearly and concisely. They will also demonstrate problem-solving abilities and a commitment to process improvement.

Responsibilities: Lead the preparation and analysis of monthly, quarterly, and annual revenue reports. Develop and maintain financial models for revenue forecasting and budgeting. Conduct variance analysis, identifying and explaining key drivers of revenue fluctuations.

Utilize SQL and Python to extract, clean, and analyze large datasets for revenue insights. Collaborate with cross-functional teams to gather data and ensure data integrity. Present findings and recommendations to senior management, utilizing Microsoft PowerPoint for effective communication.

Oversee the revenue planning process, ensuring alignment with overall business objectives. Manage and mentor a team of revenue analysts, providing guidance and support. Implement and maintain robust reporting processes, focusing on accuracy and efficiency.

Demonstrate strong ** organizational skills** and time management to meet deadlines. Minimum Qualifications: Bachelor's degree in Finance, Accounting, or a related field. 3-5 years of experience in financial analysis or revenue management.

Thorough knowledge of financial modeling techniques. Strong ** communication** and interpersonal communication skills. Proficiency in Microsoft Excel, including advanced functions and data analysis tools.

Demonstrated ** leadership** and management abilities. Excellent problem-solving skills and attention to detail. Ability to maintain confidentiality regarding sensitive financial information.

Preferred Qualifications: Bachelor degree in Finance or a related field. Experience with revenue recognition principles. Familiarity with invoicing processes.

Additional Desired Skills: Detail Oriented, Operations, Microsoft Outlook, Coordinating, Writing, Planning, Multitasking, Administrative Support, Microsoft Office, Filing, Customer Service, Administrative Functions, Clerical Works