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Revenue Data Analyst Jobs (NOW HIRING)

IMPEL

Sr. Data Analyst, Revenue Operations

Syracuse, NY · On-site

$85K - $107K/yr

We are looking for a Senior Data Analyst to help scale the analytics foundation that powers our revenue engine. In this high-impact role, you will translate complex business questions into trusted ...

Lockton, Inc.

Data Analyst

Overland Park, KS · On-site

The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information ...

Medix

Revenue Integrity Analyst

New York, NY · On-site

$30 - $34/hr

Data Review & Analysis: Evaluate large sets of revenue data, audit provided data, and extract insights. * Storytelling & Strategic Reporting: Deliver findings on payer behaviors and internal issues ...

Talent Solution Partners

Be Seen First

Healthcare Financial Revenue Analyst (Hybrid)

Houston, TX · On-site

$100K - $125K/yr

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

Dialpad

Revenue Intelligence Analyst

Austin, TX · On-site

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 ...

InnovAge

Revenue Operations Data Analyst

Denver, CO · On-site

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 ...

NetBrain

OR

$130K - $155K/yr

What We Need We are looking for a Senior Data Analyst to join our Revenue Strategy, Data & Analytics team - the GTM brain trust responsible for planning the year, reading the signal, and calling the ...

omnitrax

Revenue Analyst

Denver, CO · On-site

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 ...

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All JobsRevenue Data Analyst Jobs

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 Jul 22, 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:
What job categories do people searching Revenue Data Analyst jobs look for? The top searched job categories for Revenue Data Analyst jobs are:
Revenue Data Analyst jobs near you
Infographic showing various Revenue Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $76,256 per year, or $36.7 per hour.
Sr. Data Analyst, Revenue Operations

Sr. Data Analyst, Revenue Operations

IMPEL

Syracuse, NY • On-site

$85K - $107K/yr

Full-time

Posted 28 days ago

Job description

We are looking for a Senior Data Analyst to help scale the analytics foundation that powers our revenue engine. In this high-impact role, you will translate complex business questions into trusted data models, dashboards, and insights that improve decision- making across Sales, Marketing, Customer Success, and Revenue Operations. You will be hands-on in Snowflake and Salesforce while partnering cross-functionally to define core SaaS metrics, strengthen data quality, and create scalable reporting standards for the business.


  • Own revenue data architecture: Design, maintain, and improve scalable Snowflake schemas that support accurate reporting and analytics across the customer lifecycle.
  • Define trusted business metrics: Partner with Revenue Operations and Finance to standardize key SaaS metrics such as ARR, NRR, retention, pipeline, bookings, and customer lifetime value.
  • Improve data quality and governance: Establish documentation, definitions, QA checks, and reporting standards that increase trust in revenue data.
  • Model Salesforce data: Map, extract, transform, and document complex Salesforce data structures, including standard and custom objects, to support reliable reporting from reusable frameworks, scripts and tools in Python, SQL or AI to automate recurring analyses, improve data access, to scale the team's capabilities
  • Build actionable dashboards: Create clear, intuitive dashboards that help leaders and operators monitor performance, identify risks, and act quickly.
  • Align with technology and systems infrastructure teams: Partner with data engineering and technology teams to define data requirements, ensure data quality, and build robust pipelines that support reliable, scalable analytics across the organization and systems.
  • Deals Desk Support: Serve as a resource for Deals Desk and system administrators to process complex deal structures in Salesforce to ensure data accuracy and usability
  • Lead through influence: Collaborate with analysts and business partners across teams to align on best practices, shared definitions, and scalable analytics processes.
  • Use AI to work smarter: Apply modern AI tools where appropriate to accelerate analysis, documentation, SQL development, and workflow automation.
  • 5-8 years of experience in data analytics, revenue operations, data engineering, business intelligence, or a related role.
  • Advanced SQL skills, including experience writing, optimizing, and troubleshooting complex queries in Snowflake or a similar cloud data warehouse.
  • Strong understanding of Salesforce data structures, CRM workflows, standard and custom objects, and how commercial teams use Salesforce day to day.
  • Experience modeling SaaS revenue, subscription, pipeline, customer, or retention metrics.
  • Experience using AI tools to improve productivity, documentation, analysis, or code generation.
  • Proven ability to build dashboards and reporting experiences in Tableau or a comparable BI tool.
  • Solid understanding of data warehousing concepts, dimensional modeling, and data quality best practices.
  • Strong communication skills with the ability to translate technical concepts for business stakeholders and turn ambiguous questions into clear analysis.

Nice to Have

  • Experience influencing stakeholders in a matrixed or dotted-line environment.
  • Familiarity with modern data stack tools such as dbt, Fivetran, or similar transformation and ingestion platforms.

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