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Revenue Operations Analyst

Job in Central London, Greater London, England, UK
Listing for: Itrs Insights
Full Time position
Listed on 2025-11-05
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: City of London

At ITRS, we make society's critical technology work. Our mission is to deliver automated and holistic IT observability solutions that safeguard critical applications and enable innovation. We are the only monitoring and observability platform designed for the most demanding and regulated industries — trusted by 90% of Tier 1 capital markets firms.

We believe when our team thrives, so do our customers. With us, you'll find:

  • A culture that backs you
    – We're proud to be a Great Place to Work for multiple years in a row due to our inclusive, supportive environment.
  • Work that matters
    – Make a real difference with 1,000s of global customers in industries that keep the world running, including 9 out of 10 top investment banks.
  • Room to grow
    – Whether you're starting your career or bringing years of experience, we're committed to your development. Just ask our team members who've been excelling here for 10+ years.

With headquarters in London and teams across the US, Europe, and Asia, ITRS combines the agility of a high-impact tech business with the stability of a private equity–backed global partner.

Scope of Role

We're looking for a
data-driven, detail-oriented Revenue Operations Analyst
to join our growing Rev Ops team. This role is perfect for someone who thrives on turning complex data into actionable insights, loves building intuitive dashboards, and is passionate about maintaining data integrity across systems.

Reporting to our Head of Revenue Operations, you'll work cross-functionally with
Sales, Marketing, Customer Success, and Finance
to provide analytical support, ensure data accuracy, and help optimise our go-to-market (GTM) performance. You'll turn complex data into actionable insights that shape strategy, improve pipeline efficiency, and unlock new revenue opportunities across the business.

This position offers significant exposure across the organisation — you'll collaborate with high-caliber professionals, including C-level Executives, learn from subject-matter experts, and develop a deep understanding of what drives growth in a successful SaaS company. It's a position of influence, ideal for someone eager to grow their career and build a strong foundation in revenue strategy and analytics.

We're data-informed, not data-obsessed. We celebrate curiosity, ownership, and collaboration. If you're excited to use data to shape strategy and scale impact, we'd love to meet you.

This role offers a hybrid work schedule from our London HQ.

As a Revenue Operations Analyst , you will:

1. Design, build, and maintain dashboards and reports in BI tools (e.g., Looker, Tableau, Power BI, Hub Spot, Salesforce) to provide visibility into pipeline health, conversion metrics, and revenue performance.

2. Automate recurring reports and develop self-serve analytics capabilities for GTM teams.

3. Monitor and improve data accuracy across CRM and related systems.

Analysis & Insights

5. Conduct deep-dive analyses on pipeline trends, funnel performance, and forecasting accuracy.

6. Partner with Sales, Marketing, and CS teams to identify opportunities for process improvement and revenue growth.

7. Translate data insights into clear, actionable recommendations for leadership.

Data Governance & Integrity

9. Support ongoing data hygiene efforts across CRM and analytics platforms.

10. Define and enforce data standards, ensuring consistent taxonomy and reliable reporting.

11. Collaborate with Rev Ops and Systems teams to troubleshoot data flow or integration issues.

Requirements

  • 2–4 years of experience in Revenue Operations, Business Analytics, or a related field.
  • Strong proficiency with BI and analytics tools (e.g., Tableau, Looker, Power BI, or similar).
  • Solid understanding of CRM systems (e.g., Salesforce ).
  • Advanced Excel and SQL skills for ad hoc analysis.
  • Proven ability to synthesize large datasets into meaningful insights.
  • Strong attention to detail and commitment to data accuracy.

You will benefit from having the following:

  • Experience working in SaaS or a subscription-based business.
  • Familiarity with marketing automation platforms (e.g., Hub Spot, Marketo, or Pardot).
  • Understanding of revenue funnels, forecasting, and GTM metrics (CAC, LTV,…
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