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Remote Revenue Data Analyst Jobs (NOW HIRING)

Affirm

Staff Analytics Analyst, Full Stack (Revenue)

$195K - $255K/yr

This team owns the data products, reporting infrastructure, semantic foundations, and analytical ... The majority of our roles are remote and you can work almost anywhere within the country of ...

Velocity A Managed Services Company

Data Analyst

Revenue per Technician * Field Service Profitability Data Analysis, Reporting amp; Business Partnership * Collect, validate, analyze, and interpret data from multiple business systems. * Develop ...

New

HopSkipDrive

Data Analyst - Revenue Ops

$100/day

... data-intensive analyst role at a technology company, specifically within Sales or Revenue ... This position is remote and, as such, compensation will ultimately be in line with the location in ...

Landpoint

Remote Data Analyst

Fremont, CA · Remote

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

NuView Analytics

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Pax8

Revenue Analyst

Denver, CO · On-site +1

📈 Revenue Analyst | Remote | United States | Pax8 Pax8 is hiring a Revenue Analyst in the United States to transform revenue data into strategic insights that accelerate growth, improve ...

Arsenault Inc

Data Analyst

Burbank, IL · Remote

This is a remote position with the expectation of availability between 10am-6pm ET. Successful Data ... their revenue, and improve their relationship with their customers. We use our 16 years of ...

NMI

Data Analyst, Revenue Operations

The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems ... A remote first culture! * Flex PTO * Health, Dental and Vision Insurance * 13 Paid Holidays

Arsenault Inc

Data Analyst

New York, NY · Remote

Over the past two years, our team of 3 has become a fully remote team of 30+ Butter Slices, spread ... business and revenue-driving decisions through data. This role will report to the Director of ...

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

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Remote Revenue Data Analyst information

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$29.5K

$76.3K

$127.5K

How much do remote revenue data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a remote revenue data analyst?

To thrive as a Remote Revenue Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a background in finance or economics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and experience with ERP or CRM systems are typically required. Excellent communication, problem-solving skills, and self-motivation help you effectively present insights and work independently in a remote environment. These skills are essential for accurately identifying revenue trends, supporting business decisions, and ensuring successful collaboration with dispersed teams.

Is it possible to work remotely as a remote revenue data analyst?

Yes, remote revenue data analyst positions are common and often allow for flexible work arrangements. These roles typically require proficiency with data analysis tools like Excel, SQL, or Tableau and may involve collaboration via video conferencing and cloud-based platforms.

What is a remote revenue data analyst?

A Remote Revenue Data Analyst is a professional who works from a remote location to analyze and interpret data related to a company's revenue streams. They are responsible for identifying trends, forecasting revenue, and providing insights that help organizations make informed business decisions. This role typically involves working with large sets of data, creating reports, and collaborating with finance, sales, and management teams—all while leveraging data analytics tools and software. The position allows for flexible work arrangements and often requires strong analytical, communication, and technical skills.

What is the difference between Remote Revenue Data Analyst vs Remote Business Data Analyst?

AspectRemote Revenue Data AnalystRemote Business Data Analyst
Required CredentialsBachelor's in Data Analytics, Finance, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Business, Data Analytics, or related; similar technical skills and certifications
Work EnvironmentRemote, often within finance or sales teams, analyzing revenue streamsRemote, across various business units, analyzing overall business performance
Employer & Industry UsageFinance, sales, SaaS, e-commerce companiesConsulting firms, corporate strategy, diverse industries

The Remote Revenue Data Analyst focuses specifically on analyzing revenue data to optimize sales and financial performance, while the Remote Business Data Analyst has a broader scope, examining overall business metrics. Both roles require similar skills and certifications but differ in their focus areas and industry applications.

How does a remote revenue data analyst typically collaborate with cross-functional teams to drive business insights?

As a Remote Revenue Data Analyst, you will regularly interact with sales, finance, and marketing teams to gather context and share findings that influence decision-making. Collaboration often involves virtual meetings, shared dashboards, and real-time data visualization tools to ensure alignment on key revenue metrics and business goals. Effective communication and the ability to translate complex data into actionable insights are crucial, as your analyses directly impact strategic planning and revenue optimization. Building strong relationships across departments helps you understand business needs and tailor your analyses for maximum impact.
More about Remote Revenue Data Analyst jobs
What cities are hiring for Remote Revenue Data Analyst jobs? Cities with the most Remote Revenue Data Analyst job openings:
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 Remote Revenue Data Analyst jobs? States with the most job openings for Remote Revenue Data Analyst jobs include:
What job categories do people searching Remote Revenue Data Analyst jobs look for? The top searched job categories for Remote Revenue Data Analyst jobs are:
Remote Revenue Data Analyst jobs near you
Infographic showing various Remote Revenue Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $76,256 per year, or $36.7 per hour.

Staff Analytics Analyst, Full Stack (Revenue)

Affirm

Remote

$195K - $255K/yr

Full-time

Medical, Dental, Vision

Posted 6 days ago

Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
About the Team:
We're looking for an experienced, highly independent analytics engineer to join our Revenue Analytics team. This team owns the data products, reporting infrastructure, semantic foundations, and analytical systems that support Affirm's Revenue organization.
About the Role:
In this role, you will lead the development of scalable, trusted data products for Affirm's revenue teams. You turn ambiguous business and technical problems into scalable solutions across data modeling, metrics, dashboards, automation, governance, and AI enablement. You will help set the technical direction for Revenue's data layer, establish the semantic and metadata foundations required for AI, and raise the quality and impact of data across the Revenue organization.
What You'll Do:
  • Lead high-impact data product initiatives for Revenue, from ambiguous problem definition through technical design, implementation, rollout, and adoption.
  • Advance AI initiatives within the Revenue data ecosystem by identifying high-value use cases, integrating AI into analytics engineering workflows, and establishing the semantic, metadata, context, quality, and evaluation foundations required for AI.
  • Design and build durable, well-tested data products that power revenue operations, field and executive reporting, external merchant reporting, and analyst self-service.
  • Set technical direction for Revenue's data layer across dbt models, metrics, semantic structures, documentation, lineage, testing, governance, and access controls.
  • Identify opportunities to simplify, automate, and scale Revenue Analytics through improved data architecture, tooling, governance, and enablement.
  • Provide technical leadership and mentorship to analysts and cross-functional partners, raising the bar for how data products are designed, built, and maintained.

What We Look For:
  • 7+ years of experience in analytics engineering, business intelligence, data engineering, data product development, or a related technical analytics role.
  • Deep expertise in SQL, dbt, data modeling, metrics design, data quality, documentation, and modern analytics engineering practices.
  • Strong working knowledge of BI tools such as Sigma, Looker, or Tableau, cloud data warehouses such as Snowflake, and modern data platforms such as Databricks.
  • Strong understanding of the foundations required for reliable AI-including semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality-and experience applying AI tools within analytics engineering workflows.
  • Demonstrated ability to independently lead complex, ambiguous projects by defining scope, sequencing work, managing tradeoffs, aligning stakeholders, and delivering durable technical solutions.
  • Experience designing scalable data products for multiple audiences and influencing technical and non-technical stakeholders around architecture and product direction.
  • Familiarity with Salesforce and experience supporting commercial, GTM, revenue, or sales operations teams.

Pay Grade - O
Equity Grade - 12
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $220,000 - $280,000
USA base pay range (all other U.S. states) per year: $195,000 - $255,000
Please note that visa sponsorship is not available for this position.
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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