Sales Operations Analyst skills · 67 job postings analysed
Sales Operations Analyst skills required in 2026
We analysed 67 sales operations analyst job postings from 36 companies (India and international, July 2026 – September 2026). The most requested skill is Salesforce, mentioned by 53% of hiring companies, followed by Excel, Revenue operations and Sales operations. Postings that state experience ask for a median of 5 years.
- 1. Salesforce53% of companies
- 2. Excel32% of companies
- 3. Revenue operations26% of companies
- 4. Sales operations26% of companies
- 5. SaaS26% of companies
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From real job postings
Full sales operations analyst skills breakdown
Share of hiring companies asking for each skill
- Salesforce53%
- Excel32%
- Revenue operations26%
- Sales operations26%
- SaaS26%
- SQL26%
- Data analysis24%
- Forecasting24%
- Deal desk21%
- Financial modeling18%
- Pipeline management18%
- Power BI15%
Soft skills mentioned
- Communication38%
- Problem solving15%
- Organisation12%
- Stakeholder management12%
- Analytical skills12%
- Time management9%
Education mentioned
- Bachelor's degree90%
- Master's / MBA15%
Of postings that state an education requirement.
Median experience asked
5 yrs
0% open to 0–1 years
Work mode
49% remote
Office 48% · Hybrid 0% · Remote 49%
Postings analysed
67
36 companies · India and international
Top Indian cities
Bengaluru
Mumbai · Chennai · Hyderabad
Companies in this sample include ServiceNow, Informa Group Plc., New Relic, HighLevel, Experian, Freshworks, Energy Exemplar, GitLab Inc.
Method: postings collected by the Resumaxx job catalog (July 2026 – September 2026). Skill shares count each company once, so one employer posting many similar jobs doesn't skew the list. Figures describe this sample, not the whole market.
Before you apply
How to tailor your sales operations analyst resume
Usually required
Most companies that mention these list them as requirements. If you have them, make them easy to find.
- Salesforce
- Excel
Common differentiators
Frequently mentioned, often as a preference rather than a must.
- Revenue operations
- Sales operations
- SaaS
- SQL
- Data analysis
Industries hiring in this sample: SaaS, Revenue Operations, Events, Sales, B2B SaaS, Data Quality.
What makes a sales resume match
- State quota, attainment, deal size, and sales cycle for every role.
- Name the segment (SMB, mid-market, enterprise), industry, and CRM you used.
- Use the posting's terms for motion: inbound, outbound, full-cycle, channel, or account management.
How the match works
- 1. We read the job description and list its requirements, marking each as required or preferred.
- 2. We look for each requirement in your resume and quote the line that proves it.
- 3. A match only counts if the quote is really in your resume. Required skills count double.
Frequently asked questions
What skills do sales operations analyst job descriptions ask for?
In the 67 postings we analysed, the most common were Salesforce (53% of companies), Excel (32% of companies), Revenue operations (26% of companies), Sales operations (26% of companies), SaaS (26% of companies). Match these against the specific job description you are applying to, because each employer weights them differently.
How much experience do sales operations analyst jobs require?
Postings that state a minimum ask for a median of 5 years. 0% accept a year or less, and 61% ask for five years or more (based on 44 postings that stated a number).
Are sales operations analyst jobs remote or in office?
Of postings that specified it, 48% were office-based, 0% hybrid, and 49% remote.
How does the job description match score work?
We pull the requirements out of the job description you paste, mark each one as required or preferred, and look for evidence of it in your resume. Only quotes that actually appear in your resume count as a match. The score is weighted so required skills count twice as much as preferred ones.
Should I add every missing keyword to my resume?
No. Add a skill only if you have genuinely used it, and show it inside a bullet about real work rather than only in a skills list. Recruiters and screening tools both treat unsupported keywords as padding.