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Remote Revenue Data Analyst Jobs (NOW HIRING)

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 ...

Elder Research

Data Analyst (Remote)

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Elder Research

Data Analyst (Remote)

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

MM International

Data Analyst - Remote

New York, NY · Remote

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

PrizePicks

Revenue Analyst - Lifecycle

Atlanta, GA · On-site +1

$85K - $120K/yr

This data-centric role is vital for building and maintaining analytics tools and workflows ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Instacart

Senior Data Analyst

OR · Remote

$85K - $108K/yr

Support Revenue Accounting - Build and maintain data products (dashboards, reports, analyses) that ... Remote

Enrich Revenue Management

Revenue Analyst

$45K/yr

Description This is a full-time, remote, entry-level opportunity as a Revenue Analyst for short-term rentals. In this role, you will monitor and analyze financial and market data, support pricing and ...

Recidiviz

Data Analyst

New York, NY · On-site +1

$97K/yr

Remote, New York City, or Oakland, CA * Travel is encouraged approximately once every 6 months to ... In addition to the revenue we earn from state partners, some of the most respected philanthropists ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Your role will involve driving initiatives to optimize for operational excellence and revenue.

Right Skale, Inc.

Data Analyst

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

RightNow Media

Data Analyst- Remote

Mckinney, TX · On-site +1

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Taxwell

Data Scientist & Revenue Analyst

TaxAct i s currently seeking an accomplished Data Scientist & Revenue Analyst Analyst to drive revenue optimization efforts across the organization. In this role, you will report directly to the ...

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Remote Revenue Data Analyst information

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$29.5K

$76.3K

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

As of Jun 9, 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, and why are they important?

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.

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.
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Remote Revenue Data Analyst jobs near you

Revenue Technology - Data Strategy & Operations Lead

Mercury

San Francisco, CA • On-site, Remote

Full-time

Posted 19 days ago

Job description

Mercury is redefining *banking for ambitious companies and behind every great financial platform is a data system that people can actually trust.
As Mercury scales, our revenue systems generate an enormous amount of information: signals from remote and in-person meetings, automation tools, product usage, lifecycle events, and analytics pipelines. Turning that activity into clear, reliable intelligence - without brittle pipelines or constant rework - is critical to how we grow.
We're looking for a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role ensures that revenue data is reliable, interpretable, scalable, and usable as the business evolves and that teams can act on what they see with confidence.
In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You'll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering. etc.
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Here are some things you'll do on the job:
  • Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
  • Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
  • Design and evolve core GTM data models across Salesforce, ETL, and analytics layers
  • Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
  • Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
  • Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
  • Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms
  • Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
  • Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead
  • Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security - advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives
You Should:
  • Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
  • Have deep experience designing and operating production data pipelines
  • Be highly proficient in SQL and experienced in data modeling
  • Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
  • Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
  • Understand Salesforce data models and common GTM system architectures
  • Be able to translate business concepts into durable, well-structured data models
  • Communicate clearly with both technical and non-technical partners
Preferred:
  • Experience supporting revenue, sales, or customer lifecycle data
  • Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
  • Experience working alongside platform engineering and security teams
  • Exposure to data governance, access controls, and compliance considerations
  • Experience mentoring or guiding other data practitioners
Compensation:
The total rewards package at Mercury includes base salary, equity, and benefits.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
  • US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000
  • US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - $178,200
  • Canadian employees (any location): $149,700 - 187,100 CAD

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
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