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Join a leading company in cloud analytics as a Revenue Operations Analyst, where you'll support Sales teams with quoting and deal structuring, and drive initiatives to streamline operations. This growth position provides broad exposure to Revenue Operations while ensuring best practices for efficiency. Ideal for someone with a data-driven mindset and strong communication skills.
About the Role:
Revenue Operations builds and scales a unified GTM engine spanning across our Sales & Customer Success teams globally. We do that by owning three pillars of Revenue Operations: 1) advising and operationalizing GTM strategy, 2) automating workflow through the GTM tech stack and 3) overseeing quote-to-cash operations through Deal Desk.
This newly created Revenue Operations Analyst will get exposure to all three pillars of Revenue Operations. About 50% of bandwidth will be dedicated to Deal Desk, and the remaining 50% will be utilized for projects across the rest of the Rev Ops team. This is a growth position as Sigma’s business continues to expand, with opportunities to move to other parts of the team for someone who excels. This role reports into the Sr. Manager of Deal Desk in San Francisco.For Deal Desk support, you will work directly with the Sigma Sales team providing quoting and deal structuring support, giving you a front row seat to our growing business. You will be the main point of contact for all of Sales for quoting support and questions, and should also help identify opportunities and help implement solutions that make the quota-to-cash process more efficient and automated (thereby reducing the need for the Sales team to need Deal Desk support).
For other projects across the rest of the Rev Ops team, the scope of potential projects is wide and could include areas such as: data cleanup projects that help provide critical visibility into the business, TAM expansion projects that help add net new ICP accounts to our database to drive pipeline generation, and territory management projects that ensure all accounts are in the right territory owned by the right person, among others. You will gain broad exposure to the entire Rev Ops function and GTM tech stack.
What you will be doing:
Who you are:
Additional Job details
The base salary range for this position is $90k - $110k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
About us:Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.
Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such asforecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
Come join us!
Benefits For Our Full-Time Employees:Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, and London.