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Manager Revenue Data Analyst Jobs (NOW HIRING)

... the analytics foundation that powers our revenue engine. In this high-impact role, you will ... Strong understanding of Salesforce data structures, CRM workflows, standard and custom objects, and ...

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

Lead overall data quality standards and process improvements in partnership with CRM administrators ... Strong analytical skills with the ability to build and maintain financial models, bottoms-up ...

Lead overall data quality standards and process improvements in partnership with CRM administrators ... Strong analytical skills with the ability to build and maintain financial models, bottoms-up ...

Senior Data Analyst

$130K - $155K/yr

Today, over 2,500 of the world's largest enterprises and managed services providers leverage NetBrain's platform. What We Need We are looking for a Senior Data Analyst to join our Revenue Strategy ...

... data driven strategies, drive topline performance through analytics and execution on topics ... The Manager, Revenue Management will report to the Head of Revenue Management. Key Job ...

Responsibilities As a Revenue Operations Data Analyst at InnovAge, you will own and scale our ... Validate and reconcile data across CRM, marketing, and operational systems to ensure reporting ...

Responsibilities As a Revenue Operations Data Analyst at InnovAge, you will own and scale our ... Validate and reconcile data across CRM, marketing, and operational systems to ensure reporting ...

Manage a small team of Revenue Analysts including review of all work performed and coach for growth ... Analyze sales transactions within the Company's ERP systems to ensure accuracy of data and ...

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Manager Revenue Data Analyst information

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$29.5K

$76.3K

$127.5K

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

As of Jul 15, 2026, the average yearly pay for manager 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 is the difference between Manager Revenue Data Analyst vs Revenue Data Analyst?

AspectManager Revenue Data AnalystRevenue Data Analyst
Required CredentialsBachelor's degree in Business, Finance, or Data Analytics; experience in data analysis and leadershipBachelor's degree in related field; proficiency in data analysis tools
Work EnvironmentTeam leadership, strategic planning, cross-department collaborationData collection, analysis, reporting
Employer & Industry UsageFinance, retail, technology companies managing revenue streamsSame industries, focusing on revenue data analysis
Common Search & ComparisonOften compared for leadership roles in revenue analysisFocuses on data analysis without managerial duties

The Manager Revenue Data Analyst typically oversees data analysis teams, develops strategies, and collaborates with leadership, requiring leadership skills and experience. Revenue Data Analysts focus on analyzing revenue data, preparing reports, and supporting decision-making without managerial responsibilities. Both roles are vital in revenue-driven industries but differ mainly in scope and leadership duties.

More about Manager Revenue Data Analyst jobs
What cities are hiring for Manager Revenue Data Analyst jobs? Cities with the most Manager 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 Manager Revenue Data Analyst jobs? States with the most job openings for Manager Revenue Data Analyst jobs include:
Sr. Data Analyst, Revenue Operations

Sr. Data Analyst, Revenue Operations

IMPEL

Syracuse, NY

$85K - $107K/yr

Full-time

Posted 21 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.