A remote Sales Operations Analyst role, full-time, paying up to $72,000 a year, open to applicants anywhere.
What you'd be doing
- Maintaining CRM data and the processes that keep it clean
- Building sales performance reports the team actually uses
- Supporting forecasting and territory planning for the broader sales organization
This role sits behind the scenes of a sales team rather than in front of customers. Reps and managers rely on the numbers this role produces to make real decisions, so accuracy here matters in ways that ripple well beyond the report itself. A wrong number in a forecast doesn't just look bad in a meeting; it can shift how much a company plans to spend on hiring or marketing that quarter.
Where this fits in the sales organization
This role usually sits between the sales team itself and whoever runs revenue operations more broadly, often a director or VP overseeing the whole function. Day-to-day, that means fielding requests directly from sales managers who need a specific slice of data for a leadership meeting, while also flagging bigger structural issues, like a territory boundary that's been outdated for two quarters, to whoever owns that decision.
A typical week
Recurring reports go out on a set schedule, usually weekly for pipeline snapshots and monthly for broader performance reviews, but a good chunk of the week gets absorbed by one-off requests that come up unpredictably. A regional sales manager preparing for a quarterly business review might need a specific breakdown that doesn't yet exist in any standard report, and building it quickly without sacrificing accuracy is a routine part of the job rather than an exception.
When the data doesn't match the story
A sales manager pulls up the pipeline report expecting a certain number, and it comes in noticeably lower than what reps have been saying in their weekly updates. Tracing it back, it turns out two reps have been marking deals as "verbal commit" at completely different points in their process: one as soon as a prospect sounds interested, the other only once paperwork is actually moving. The fix isn't blaming either rep. It's tightening the stage definitions in the CRM itself so "verbal commit" means the same thing across the team, and the forecast becomes trustworthy again going forward.
Education and experience
A bachelor's degree in business or analytics covers the education requirement. In terms of experience, candidates need 2 years supporting sales operations and reporting, ideally with hands-on CRM administration rather than just consuming reports someone else built.
Skills this role calls for
CRM administration sits at the center: the actual configuration and upkeep work, not just using the system as an end user does. Excel skills need to go beyond basic formulas, since much of the analysis work involves pulling raw data and shaping it into something usable. Sales analytics and reporting turn that raw data into decisions someone can actually act on, and forecasting support means understanding enough about how a sales cycle works to flag when a number looks off before it reaches leadership. Process improvement rounds things out, since a broken workflow tends to generate the same data problem over and over until someone actually fixes the process rather than just cleaning up after it each time.
Familiarity with a business intelligence tool or experience with a specific CRM platform's admin console beyond the basics of Salesforce tends to make a candidate stand out here. Comfort with writing basic SQL queries is a genuine plus, too, since pulling data directly from a database sometimes yields an answer faster than waiting on an export from someone else's team.
Pay and benefits
Base pay up to $72,000 USD annually; fully remote with no location restrictions. Naukri Mitra lists a range of remote sales operations analyst jobs under similar compensation terms, and this particular opening follows that same structure.
- Health insurance
- Paid time off
- 401(k) matching
Some companies hiring for this role also offer stock options or profit-sharing as part of total compensation, in addition to base salary.
What makes this role harder than it sounds
Clean data doesn't stay clean on its own. Reps update the CRM inconsistently; new fields get added without anyone retiring old ones; and territory boundaries shift after a reorg, but not every record gets updated to match. An analyst who only reacts when something breaks ends up constantly firefighting, while one who builds in regular data audits catches drift before it turns into a wrong number that makes it all the way to a leadership meeting.
There's also a translation piece to this job that's easy to underestimate. A perfectly accurate report means nothing if the sales leader reading it can't quickly find the number they actually care about. Building reports that answer the real question someone's asking, rather than just displaying every field available, is a skill that separates a strong analyst from one who's just technically proficient.
Getting into the role from an adjacent background
People coming from a sales support, business analyst, or even a general operations role often transition well, since the core skill, turning messy data into something reliable, transfers directly. For someone exploring how to become a remote sales operations analyst without two full years specifically in a sales operations title, strong Excel and CRM administration experience from an adjacent role can carry real weight in an interview, especially paired with a concrete example of cleaning up a messy dataset or process.
Growth from here
Analysts who perform well in this seat commonly move into senior sales operations roles handling larger territories or more complex forecasting models, or into a broader revenue operations function that spans sales, marketing, and customer success data. Neither path is guaranteed with this specific opening, but both are common next steps for someone who builds real expertise here.
How to apply
Applicants should be ready to describe a specific instance of cleaning up messy sales data or fixing a broken reporting process, since that concrete example carries more weight in review than a general list of tools used. Applications are reviewed on a rolling basis, and the role stays open until it's filled.
