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Revenue Analytics Jobs (NOW HIRING)

About This Role: We're looking for a full-time Senior Revenue Analytics Lead to join our Sales team reporting to the Senior Director, Revenue Operations. This role is a remote role based in the ...

About This Role: We're looking for a full-time Senior Revenue Analytics Lead to join our Sales team reporting to the Senior Director, Revenue Operations. This role is a remote role based in the ...

The Director of Multifamily Operations Strategy & Analytics has responsibility for all aspects of revenue and expense management for the entire Northland portfolio. The Director will work with Vice ...

About This Role: We're looking for a full-time Senior Revenue Analytics Lead to join our Sales team reporting to the Senior Director, Revenue Operations. This role is a remote role based in the ...

The Director of Multifamily Operations Strategy & Analytics has responsibility for all aspects of revenue and expense management for the entire Northland portfolio. The Director will work with Vice ...

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... Analytics, or BI • Experience in SaaS / MSP / recurring revenue environments • Exposure to acquisitions or multi-entity integrations strongly preferred • Strong Excel + BI/dashboarding skills ...

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Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

Data Scientist

Atlanta, GA · On-site

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

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Revenue Analytics information

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$35K

$96.5K

$167K

How much do revenue analytics jobs pay per year?

As of Jul 1, 2026, the average yearly pay for revenue analytics in the United States is $96,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $107,500.00 per year, depending on experience, location, and employer.

What does a revenue analyst do?

A revenue analyst is responsible for analyzing a company's revenue data to identify trends, forecast future revenue, and support strategic decision-making. They use tools like Excel, SQL, or data visualization software to interpret financial information and often collaborate with sales and finance teams to optimize revenue performance.

What are the typical daily responsibilities of someone working in Revenue Analytics?

Professionals in Revenue Analytics spend their days analyzing sales and financial data, building revenue forecasts, identifying trends, and generating reports to support business objectives. They often collaborate with cross-functional teams such as sales, marketing, and finance to align strategies and provide insights that inform decision-making. Additionally, they may be responsible for monitoring pricing strategies, tracking key performance indicators, and recommending process improvements. This role is both data-driven and collaborative, offering a dynamic work environment for those who enjoy solving business challenges through analytics.

Is revenue analyst a good career?

Revenue analysts analyze financial data to help companies maximize income and improve profitability. The role typically requires strong analytical skills, proficiency with tools like Excel and SQL, and a good understanding of market trends. It offers opportunities for advancement into finance or management positions and can provide a stable career path with competitive salaries.

What jobs make $1,000,000 a year?

In revenue analytics, high-level roles such as Chief Revenue Officer or VP of Revenue can earn over $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, strategic skills, and often involve performance-based bonuses or equity components.

What are the key skills and qualifications needed to thrive in the Revenue Analytics position, and why are they important?

To excel in Revenue Analytics, you need strong analytical skills, proficiency in financial modeling, and a background in business, finance, economics, or a related field. Familiarity with tools such as Microsoft Excel, SQL, Tableau, and experience with CRM or ERP systems are commonly required, and a certification in data analytics or finance is a plus. Attention to detail, strong communication skills, and the ability to present complex data effectively are valuable soft skills for this role. These competencies are critical to translating data into actionable insights and driving effective revenue strategies for the organization.

What is a Revenue Analytics job?

A Revenue Analytics job focuses on analyzing financial data, pricing strategies, and market trends to optimize revenue generation. Professionals in this role use data-driven insights to forecast sales, improve pricing models, and identify growth opportunities. They work closely with finance, marketing, and sales teams to enhance profitability and operational efficiency. Strong analytical skills, proficiency in tools like SQL, Excel, and BI platforms, and a deep understanding of business metrics are essential for success in this role.

What does revenue analytics do?

Revenue analytics involves analyzing financial data to understand revenue streams, identify trends, and improve profitability. Professionals in this field use tools like Excel, SQL, or BI software to generate reports and support strategic decision-making. It requires strong analytical skills and knowledge of financial metrics.
What cities are hiring for Revenue Analytics jobs? Cities with the most Revenue Analytics job openings:
What are the most commonly searched types of Revenue Analytics jobs? The most popular types of Revenue Analytics jobs are:
What states have the most Revenue Analytics jobs? States with the most job openings for Revenue Analytics jobs include:
Infographic showing various Revenue Analytics job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $96,532 per year, or $46.4 per hour.
Senior Revenue Analytics Lead

Senior Revenue Analytics Lead

Gainsight

Concord, NC • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

We're building the AI-driven future of customer success, from retention to growth!

Gainsight is the AI-powered retention engine behind the world's most customer-centric companies. The Gainsight CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy. More than 2,000 companies trust Gainsight's applications and AI agents to drive learning, adoption, community connection, and success for their customers. To explore how our suite of solutions is shaping the future of customer success, check out the link.

About This Role:

We're looking for a full-time Senior Revenue Analytics Lead to join our Sales team reporting to the Senior Director, Revenue Operations. This role is a remote role based in the United States.

In this role, you'll play a key role in shaping and scaling our GTM analytics function by building AI-enabled, self-service intelligence that drives smarter decision-making across bookings, pipeline, renewals, GRR, and customer lifecycle performance. This is a great opportunity for someone who thrives in a fast-paced, data-driven environment and enjoys working cross-functionally with teams like Sales, Customer Success, Finance, and Revenue Operations. The ideal candidate brings strong skills in GTM analytics, data infrastructure and modeling, and proactive insight generation using AI-driven workflows.

What You'll Do:

Analytics COE Leadership

  • Lead the analytics center of excellence for Gainsight's GTM organization, with an initial focus on Sales and Customer Success

  • Set standards for dashboard design, metric definitions, data governance, and insight delivery across the team

  • Own the quality and trust of all GTM reporting, ensuring leadership can rely on the numbers without second-guessing them

  • Act as a mentor to peer analysts, focused on technical and business acumen, escalation support, knowledge and skills sharing

Revenue Analytics Across the Full Lifecycle

  • Own end-to-end analytics across bookings, pipeline health, forecasting, GRR, NRR, renewals, and customer expansion

  • Partner with the GTM Planning team on evolution of planning models that support AOP, quota setting, capacity planning, and scenario analysis

  • Deliver executive-ready dashboards and weekly/monthly/quarterly operating cadences for Sales and CS leadership

  • Partner with Finance on bookings-to-revenue reconciliation and board-level reporting

  • Proactively surface risks and opportunities, moving from answering questions to anticipating them

AI-Native Analytics Transformation

  • Lead the transformation from static BI dashboards to AI-enabled, self-service data exploration for GTM stakeholders

  • Partner with the GTM Data Architect to establish the semantic layer - the business-side definitions of ACV, GRR, pipeline, and churn that enable reliable AI querying

  • Design and deploy AI-powered analytical workflows including natural language querying, anomaly detection, and proactive insight surfacing

  • Enable Sales and CS leaders to query data independently without routing every question through the analytics team

  • Stay current on the evolving landscape of AI analytics tooling and bring forward recommendations

Stakeholder Partnership

  • Serve as a trusted analytical thought partner to Sales VPs, CS leadership, and RevOps

  • Translate complex data into clear business recommendations, connecting the numbers to the "so what"

  • Support strategic planning processes including territory design, AOP, and Rules of Engagement

This is not a complete list of responsibilities, and the scope of the role may evolve with the needs of the team and business. This role will require occasional travel for team meetings, training, or company events.

What We're Looking For:

  • 7+ years in GTM analytics, Revenue Operations analytics, or BI roles supporting Sales or CS at a B2B SaaS company required.

  • Deep fluency across the full SaaS revenue lifecycle, bookings, pipeline, ARR, GRR, NRR, renewals, and customer health

  • Hands-on experience owning and governing a BI environment, not just consuming dashboards but building, maintaining, and improving them

  • Strong experience with modern BI tools (Sigma Computing highly preferred; Looker, Tableau, or similar accepted)

  • Experience with cloud data warehouse environments (Snowflake preferred; BigQuery or Redshift acceptable; not responsible to build pipelines but will need to understand the data model and work confidently within it)

  • Proven ability to define and govern business-critical metrics and translate business logic into data structures others can rely on

  • Actively utilize AI tools to enhance analytics workflows, not just awareness but hands-on use

  • Strong stakeholder communication skills, comfortable presenting to and pushing back on senior leaders

Nice-to-have skills:

  • Experience with Gainsight as a CS platform (understanding of health scores, renewal workflows, and the data it produces)

  • Familiarity with dbt or SQL-based data modeling

  • Experience in a PE-backed or board-reporting environment

  • Exposure to CPQ workflows and subscription data

  • Experience with common sales-tech vendors across conversational intelligence, forecasting, and sales engagement workflows (e.g. Gong.io, SalesLoft, Clari, Kluster or similar)

Why You'll Love It Here:

Gainsight is a place where innovation is shaped through collaboration, curiosity, and a shared focus on solving real-world problems. With a growing suite of products across customer success, product experience, community, education, and AI-powered relationship intelligence, we continue to evolve with the needs of our customers. When people with diverse strengths, a strong sense of community, and true passion for our mission come together, they drive greater impact and create lasting value. What underpins it all is a culture that offers the stability, trust, and support that people need - not just to do the job, but to show up as themselves and feel connected to the work they do. Gainsters love working here for several reasons. Here are a few:

Our Compensation and Benefits: At Gainsight, we believe great work happens when teammates feel fully supported.

  • The starting base salary range for this role is $105,000 - $115,000 USD annually. Actual compensation may vary based on factors such as skills, experience, and location. In addition to base pay, this role is eligible for an annual bonus and participation in Gainsight's equity program.

  • We offer a comprehensive benefits package including fully covered medical premiums (employee-only), flexible PTO, 401(k) plan, dental and vision coverage, and remote work options. Additional benefits include a $10,000 lifetime fertility stipend and access to coworking spaces around the globe. You'll also enjoy dedicated Recharge Holidays - one long weekend each quarter to relax and reset.

Our Core Values: We are guided by our values and our mission to be living proof you can win in business while being Human-First. Learn more here.

Our Growth Opportunities: From mentoring to career development opportunities, we're passionate about helping our teammates learn, grow, and thrive.

Our Parody Videos: No explanation needed. Just watch them here!

If this sounds like the right role for you, we'd love to hear from you.

Additional Information:

We're committed to creating an inclusive, fair, and transparent hiring process. As an equal opportunity employer, we celebrate diversity and are committed to creating a welcoming experience for all candidates.

If you require accommodations or have questions about how your personal data will be used during the hiring process, please contact recruiting@gainsight.com.

If you are based in San Francisco, we will consider qualified applicants with arrest and conviction records, in accordance with the San Francisco Fair Chance Ordinance.