Revenue Operations Analyst

Job Posted 17 Days Ago Posted 17 Days Ago
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Hiring Remotely in US
Remote
Mid level
Big Data • Cloud • Software • Big Data Analytics
Monte Carlo is building the Data Observability category to accelerate the adoption of data.
The Role
The Revenue Operations Analyst at Monte Carlo will support go-to-market teams by leveraging Salesforce, Looker, SQL, and Snowflake for data analysis, reporting, and operational efficiency. Responsibilities include developing dashboards, maintaining data integrity in Salesforce, and collaborating across departments for revenue insights.
Summary Generated by Built In

About Monte Carlo

As businesses increasingly rely on data to power digital products and drive better decision-making, it’s mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data Observability platform. Named an Inc. Best Workplace for 2024, a DBTA Readers Choice for Best Data Observability Solution for 2024, a G2 Best Product for 2023, and the "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, Pepsico, Amazon, American Airlines, and other leading enterprises to help them achieve trust in data.

About the Role

We are looking for a data-driven Revenue Operations (RevOps) Analyst to support our go-to-market (GTM) teams by leveraging Salesforce (SFDC), Looker, SQL, and Snowflake to analyze revenue performance, optimize processes, and drive operational efficiency. This role will work cross-functionally with sales, marketing, customer success, and finance to provide actionable insights, improve reporting capabilities, and enhance data-driven decision-making.

Responsibilities

  • Data Analysis & Reporting: Develop dashboards and reports in Looker, SFDC, and Snowflake to track key revenue and sales metrics.

  • SQL & Data Management: Write SQL queries to extract, manipulate, and analyze data from Snowflake and other databases.

  • Salesforce (SFDC) Optimization: Maintain and improve Salesforce data integrity, automate workflows, and optimize sales processes.

  • Pipeline & Forecasting: Support revenue forecasting, pipeline analysis, and performance tracking for sales and GTM teams.

  • Process Improvement: Identify inefficiencies in revenue operations and recommend scalable solutions.

  • Cross-functional Collaboration: Work with sales, marketing, and finance to ensure accurate and aligned revenue reporting.

  • Data Governance & Integrity: Ensure data quality, consistency, and compliance across systems.

Qualifications

  • 4+ years of experience in a Revenue Operations, Sales Operations, or Business Intelligence role.

  • Hands-on experience with SQL (querying, data manipulation, and optimization).

  • Experience with Salesforce (SFDC) administration and reporting.

  • Strong proficiency in Looker (building dashboards, reports, and visualizations).

  • Familiarity with Snowflake or other cloud-based data warehouses.

  • Strong analytical skills with the ability to interpret data and provide actionable insights.

  • Excellent problem-solving skills and attention to detail.

  • Ability to work cross-functionally and communicate effectively with technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with revenue forecasting and GTM analytics.

  • Familiarity with additional BI tools (Tableau, Power BI, etc.).

  • Knowledge of revenue lifecycle, lead-to-cash processes, and sales funnel optimization.

  • Experience with Python or other scripting languages for data analysis is a plus.

Why Join Us?

  • Work in a data-driven, fast-growing environment.

  • Collaborate with a high-performing team to shape revenue strategy.

  • Opportunity to influence GTM decisions with deep data insights.

  • Competitive salary, benefits, and professional growth opportunities.

#LI-REMOTE

#BI-REMOTE

Come As You Are

Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. 

Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are proud to be recognized for our world-class employee experience:

Monte Carlo Named to American's Most Loved Workplace List 2024

Monte Carlo Named an Inc. Best Workplace for 2024

Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024

Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024

Top Skills

Looker
Salesforce
Snowflake
SQL

What the Team is Saying

Person1
Mike Ebbers
Enterprise Account Executive
“I love Monte Carlo for the authentic culture. Everyone values a high degree of execution and collaboration to accomplish our mission to reduce data downtime. It shows in our GTM strategy, product, engineering, customer success, really everywhere across teams. And that's why our customers love partnering with us.“
Mike Ebbers
Xuanzi Han
Helena Munoz
Cassie Quan
Tim Osborn
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The Company
San Francisco, CA
165 Employees
Remote Workplace
Year Founded: 2019

What We Do

As businesses increasingly rely on data to power digital products and drive better decision-making, it’s mission-critical that this data is accurate and reliable. Monte Carlo, the data reliability company, is the creator of the industry's first end-to-end Data Observability platform. Named an Enterprise Tech 30 company in 2021 and 2022, a 2021 IDC Innovator, an Inc. Best Place Workplace for 2021 and 2022, and a "New Relic for data" by Forbes, we've raised $236M from Accel, ICONIQ Growth, GGV Capital, Redpoint Ventures, IVP, and Salesforce Ventures. Monte Carlo works with data-driven companies like Fox, PagerDuty, CreditKarma, and other leading enterprises to help them achieve trust in data.

Why Work With Us

At Monte Carlo we believe in building our company around great talent, not the other way around. That's why we're a remote-first organization by choice.

We work fast. We solve big problems. And we have a great time doing it.

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Monte Carlo Offices

Remote Workspace

Employees work remotely.

Typical time on-site: None
San Francisco, CA
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