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Revenue Data Analyst Jobs (NOW HIRING)

... 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 ...

OR · On-site

The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into the reporting, models, and visualizations that power revenue, sales, and operations decision ...

The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into the reporting, models, and visualizations that power revenue, sales, and operations decision ...

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 ...

Ensure data integrity across billing systems, CRM, and ERP platforms Revenue Analysis & Reporting * Analyze revenue performance across customers, products, and segments to identify trends and risks

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 integrity across billing systems, CRM, and ERP platforms Revenue Analysis & Reporting * Analyze revenue performance across customers, products, and segments to identify trends and risks

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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 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:
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.
Data Analyst - Revenue Ops

$100/day

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

About HopSkipDrive
At HopSkipDrive, our mission is to create opportunity for all through mobility. We're the leader in safe, fast, and simple supplemental student transportation. Through our marketplace, we connect kids to highly-vetted caregivers on wheels. Through our software, we solve the biggest transportation challenges facing schools and school districts across the country.
Founded by three moms as a solution to their own transportation challenges, we've now facilitated more than five million rides across over over 20states. We continue to grow rapidly - earning a spot on the Inc. 5000 list numerous times and the Deloitte 500 Fast-Growing Technology list. HopSkipDrive is a Series D company and has raised $100M to date.
How we work
We're an AI-forward company, and we expect every person on our team to be too. We use AI tools to do our best work - drafting, analyzing, building, and shipping faster than we could without them - and we invest in training, share what works, and govern AI use thoughtfully. We don't expect you to be an expert when you start. We do expect you to be curious, willing to learn, and ready to use the best tools available to move our mission forward.
We're remote-first, mission-driven, and built for people who want to do work that matters with people who hold a high bar.
Who You Are
Our Data Science and Analytics team is a fast-moving, AI-forward group, that utilizes a modern data stack including SQL, dbt, and Snowflake to deliver accurate 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 leadership real-time visibility into performance versus targets.
  • Analyze funnel conversion, win/loss rates, and revenue trends to surface growth opportunities and churn risks for RevOps to act on.
  • Contribute to dynamic, scenario-contingent models for revenue forecasting and pricing analysis using Excel, Google Sheets, and/or modern BI tools.
  • Partner with Sales leadership on forecasting by providing growth metrics and forward-looking projections to inform planning decisions.
  • Maintain and improve Snowflake and dbt data models to ensure accurate, consistent reporting in the source data.
  • Version-control all data products in GitHub and build automations to eliminate recurring manual tasks.
  • Translate complex data findings into clear, decision-driving language for Sales and RevOps stakeholders.
  • Develop self-serve reporting tools that allow business leaders to answer day-to-day questions independently.

Who You Are:
You are a proactive, technically-grounded analyst who moves fast and understands the intricacies of the sales motion and revenue operations. You are inherently curious love to think critically about the details and the big picture. You are an expert at interpreting business requests and translating them into rigorous, reproducible analysis while utilizing AI tools to enhance your workflow. You excel at building strong cross-functional relationships to drive alignment on key business objectives. You have excellent communication skills and can translate findings for both technical and non-technical audiences.
5+ years of experience in a data-intensive analyst role at a technology company, specifically within Sales or Revenue Operations.
  • Advanced, production-grade SQL skills with the ability to build reliable models and debug complex data issues independently.
  • Proven expertise building sophisticated, dynamic models in Excel or Google Sheets for scenario planning and revenue forecasting.
  • Direct experience working with dbt for data modeling and transformation within a cloud data warehouse like Snowflake.
  • Technical proficiency with Salesforce CRM data models, reporting structures, and data hygiene practices.
  • Experience using modern BI tools (such as Tableau, Looker, or Omni) to build reports and self-serve analytics.
  • Demonstrated ability to use GitHub for version control, documentation, and maintaining reproducible data pipelines.
  • Experience integrating AI systems like Claude into your analytical workflow to increase speed and accuracy.

Our Investment In You
We want you to be an owner in our company and share in executing our vision, so every full-time employee has equity. In addition, we offer flexible vacation, medical, dental, vision and life insurance, 401(k), FSA, and an opportunity to work for a uniquely positioned, VC-backed company in a hugely attractive space with significant upside potential. HopSkipDrive is proud to operate as a drug-free workplace. HopSkipDrive is also committed to fair and equitable compensation practices. The salary range for this role is $95,000 - $110,000. This position is remote and, as such, compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by several factors such as a candidate's relevant work experience, skill set, certifications, and specific work location. The total compensation package for this role also includes equity stock options.
HopSkipDrive is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected class.
  • This role will be fully remote in one of the following states AZ, CA, CO, DC, FL, GA, IL, IN, KS, MA, MD, MI, MN, MO, NC, NJ, NM, NV, NY, OK, OR, SC, TN, TX, UT, VA, WA, WI**

HopSkipDrive logo

About HopSkipDrive

Sourced by ZipRecruiter

HopSkipDrive 's m ission is to create opportunity for all through mobility. Our safe, innovative youth transportation solution is used by over 300 school districts, charter schools, government agencies and busy families to get kids where they need to go. With nearly 500,000 yellow buses on the road every day and 3.5 billion miles driven a year, student transportation is the largest mass transit system in the US. And while districts spend $25 billion annually on transportation, only 30% of kids get to school everyday on a school bus. Add to the equation a crippling bus driver shortage and increasing needs for individualized transportation solutions, and it is clear the current system is expensive, inefficient and ripe for disruption. We create personalized transportation solutions from one to many, and everything in between. We're a company with heart Our partnerships with school districts, child welfare agencies and nonprofits ensure equitable educational access for our most vulnerable populations, including youth in foster care, youth experiencing homelessness, and youth with special needs. We understand that the difference between struggle and success can sometimes be as simple as the ability to show up, which is why we're on a mission to use innovative technology, coupled with operational expertise and new thinking to help kids reach their full potential by providing a safe, dependable way to get them where they are going. We're an awesome place to work Our company culture has been well-recognized - HopSkipDrive has been named to Best Places to Work lists from Built in LA, Comparably, Inc. and the Los Angeles Business Journal. Comparably also named us to the Best Company for Professional Development, Best CEO and Best CEOs for Women lists. We're growing rapidly Founded by three moms as a solution to their own transportation challenges, we now serve nine states and 16 markets across the country and continue to expand at a rapid pace, twice making the Inc. 5000 and Deloitte 500 Fast-Growing Technology lists. Backed by top-tier venture capital firms, HopSkipDrive has raised $70M in funding to date.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2014