Level

Instructure

Senior Revenue Operations Analyst

Instructure is hiring a Senior Revenue Operations Analyst for a remote role open to applicants in Hungary. Level rates it ; you can apply on Instructure.

Level's read on this job

  • Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
  • This is listed as a remote role.
  • The posting mentions Gong, SQL and CRM among its tools and skills.
  • Level classes it as a senior role.
  • Instructure has 61 other open roles on Level.

AI in this role

Analyze pipeline trends, build booking reports, and support annual planning using SQL and AI tools for process automation.

gongsqlcrmai-tools
sales-operationsrevenue-operationsdata-analysisforecastingcapacity-modeling

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Instructure is looking for a high-performing Revenue Operations Analyst to support our global Sales Operations function. Reporting to the Director of Planning and Analytics, this role partners across Business Units to deliver data-driven insights on bookings, pipeline health, and sales performance. You'll build the reporting and analysis that helps leadership make faster, better-informed decisions. You'll also support the Revenue Operations team on Annual Planning activities.

You'll work closely with Sales, Finance, and Revenue Operations teams to turn raw data into clear recommendations. The ideal candidate combines strong SQL and analytical skills with the judgment to know what a number actually means for the business.

This position can be worked remotely.

What You'll Do

  • Build and maintain SQL queries and reports that track bookings, pipeline coverage, and conversion, and monitor CRM data quality to resolve issues at the source.

  • Analyze pipeline trends and support the weekly forecasting review cadence with clean, accurate data that flags risk before it becomes a forecast miss.

  • Partner with regional and global Sales Operations teams to keep metric definitions and reporting standards consistent.

  • Build standardized templates for territory planning, account segmentation, and quota allocation, and partner with field Sales Operations business partners to deliver them on schedule during the H2 Annual Planning cycle.

  • Build sales rep capacity models to inform headcount and territory coverage decisions.

  • Translate ad hoc business questions into structured analysis and clear, leadership-ready answers.

  • Identify opportunities to automate recurring reports and reduce manual work, using AI tools where applicable.

  • Contribute to global Sales Operations projects and share practices that scale across regions.

What You'll Need

  • Two or more years of experience in Sales Operations, Revenue Operations, Business Analytics, or a related go-to-market analytical role, preferably within a SaaS or recurring-revenue business.

  • AI fluency, with experience using AI tools to automate repetitive tasks and improve productivity.

  • Strong SQL skills and hands-on experience querying and reporting on data in Salesforce, plus experience building or scoping dashboards in Tableau or a comparable business-intelligence platform.

  • A strong understanding of B2B sales processes, pipeline management, and forecasting metrics.

  • Experience working with Sales Systems and revenue technology platforms, such as Clari and Gong.

  • Sound business judgment — the ability to turn complex data into clear insights and question assumptions rather than accept them at face value.

  • Strong written and verbal communication skills, with the ability to present findings to both frontline teams and senior leadership.

  • High attention to detail and a proactive, adaptable approach suited to a fast-paced, evolving environment.

Preferred Qualifications

  • Bachelor's degree in a quantitative field, or equivalent job experience.

  • Experience with Snowflake or another cloud data platform.

  • Experience supporting bookings, pipeline, or forecast analysis across multiple regions or business units.

  • Comfort working across time zones with global stakeholders.

Get in on all the awesome at Instructure!

We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.

  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.

  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.

  • Comprehensive wellness programs and mental health support

  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth

  • The technology and tools you need to do your best work

  • Motivosity employee recognition program

  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

How we rate this

Senior Revenue Operations Analyst at Instructure rates 42 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Sales OperationsRevenue OperationsData AnalysisForecastingCapacity ModelingGongSQLCRM

Questions you could be asked

  1. Tell me about a project where sales operations was part of your work. What did you do?
  2. Tell me about a project where revenue operations was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where forecasting was part of your work. What did you do?
  5. Tell me about a project where capacity modeling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Sales Operations, Revenue Operations, Data Analysis, Forecasting, and Capacity Modeling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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