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Revenue Operations Analyst

Salt Lake City, UT

Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. We hold true to our core values: innovation in everything we do, passion & excellence in every area, individual empowerment, initiative and ownership, and teamwork over ego. At Lucid, we value diversity and are dedicated to creating an environment and culture that is respectful and inclusive for everyone. Lucid is a hybrid workplace. We promote a healthy work-life balance by allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team.

Since the company’s founding, Lucid Software has received numerous global and regional recognitions for its products, business, and workplace culture. These include being named a Fortune Best Workplace in Technology and a 2022 Glassdoor Best Place to Work, inclusion on the Forbes Cloud 100, and ranking in the top 100 on G2’s 2023 Best Global Software Companies. Top businesses use our products all around the world, including customers such as Google, GE, and NBC Universal. Our partners include industry leaders such as Google, Atlassian, and Microsoft.  

We are looking for a smart, motivated, and organized person to join the Revenue Operations team. This role will provide cross-functional opportunities to partner with leadership across Revenue Operations, GTM Strategy & Operations, Sales, Analytics, and Finance to drive various processes and strategic initiatives with a focus on real-time visibility into the performance of go-to-market teams. This role will also provide regular reporting and analysis for the Revenue Operations team and various stakeholders. An ideal candidate will have a love of technology, collaborate well in a team environment, and have a desire to work in a fast-paced role that is continuously evolving as our organization scales.

Responsibilities:

  • Drive strategic decision-making and planning in partnership with Sales leadership: Produce analysis and recommendations that provide insight to Sales leadership on key decisions impacting our business; work closely with GTM Strategy & Operations, Analytics, Finance, and other cross-functional teams on annual planning
  • Maximize partnership value for key stakeholders within Sales, GTM Strategy & Operations, Finance, and People Ops by presenting timely and actionable insights on current and historical key performance metrics for reps, teams, segments, and divisions
  • Maintain and improve accessible sources of truth within Adaptive and Tableau for current and historical performance, quota capacity, headcount, and other team changes as the organization scales
  • Work cross-functionally on implementing strategic solutions for process inefficiencies to optimize for completeness, accuracy, and user experience
  • Proactive and timely communication with Sales reps, leaders, and other key stakeholders on key performance metrics

Requirements:

  • 2-3 years of relevant experience
  • BA/BS degree
  • Experience with data analysis and financial modeling, including intermediate to advanced Microsoft Excel skills (e.g. lookups, pivot tables, complex formulas)
  • Able to work independently, collaboratively, and on multiple initiatives at the same time with a demonstrable record of driving results
  • Detail-oriented and organized to ensure work is complete, accurate, and timely
  • Able to identify problems as well as propose and implement creative data-driven solutions
  • Resourceful, innovative, and are always looking for ways to drive process improvement and act as an agent for change
  • Strong verbal and written communication with good interpersonal skills to build relationships with key stakeholders
  • Able to thrive in a fast-paced environment

Preferred Qualifications:

  • Ideally 1+ years in a SaaS or recurring revenue business; Revenue Operations, Business Operations, Finance, Analytics, FP&A, or other operational or quantitative role preferred
  • Experience with Salesforce, Tableau, Adaptive, and SQL
  • Degree in a quantitative field such as Finance, Business, Economics, Strategy, IS, Statistics, Math, or other technical degree
  • Passion for working with emerging technologies and an ability to understand new technical concepts

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