Sales Operations Analyst

Sales Operations Analyst

Full-Time 45000 - 55000 £ / year (est.) No working from home possible
ICE

At a Glance

  • Tasks: Drive sales analytics, manage compensation processes, and improve workflows across a global sales team.
  • Company: Join ICE Data Services, a leading tech-driven financial services company.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on innovation and collaboration across multiple departments.
  • Why this job: Be at the forefront of data and technology, making impactful decisions in sales operations.
  • Qualifications: 3+ years in Sales Operations or Business Analytics; strong Salesforce and Anaplan skills required.

The predicted salary is between 45000 - 55000 £ per year.

ICE Data Services, a subsidiary of Intercontinental Exchange (ICE), is hiring a Sales Operations Analyst to join a high-performing Sales Operations & Business Analytics team. You'll sit at the intersection of data, technology and expertise, driving sales analytics, owning compensation processes and leading process improvement across a Global Sales organization.

The Sales Operations Analyst will be primarily responsible for ad hoc reporting using Salesforce.com and various internal systems as well as working closely with both Sales and the CRM development team. The ideal candidate must have the technical aptitude to quickly learn and become proficient with other ICE internal systems such as Anaplan, Tableau, SharePoint, Service Now, among others. This position acts as an advisory role for Sales Management and will also be responsible for providing technical strategy and recommendations to ensure application tools meet the business needs. This individual will lead key initiatives focused on improving sales effectiveness, standardizing best practices, and streamlining workflows. We are hiring for proactivity. We are looking for someone who anticipates issues before they surface, builds thoughtful solutions, and brings them forward with confidence.

Responsibilities

  • Business Analytics & Sales Reporting: Build and maintain sales reports, dashboards and KPIs in Salesforce and Tableau; proactively close gaps before they're flagged. Deliver monthly and quarterly performance reporting for senior leadership, plus ad hoc analyses with clear recommendations. Own data quality and governance across Salesforce and Anaplan end to end. Partner with the Salesforce admin and Business Operations team on CRM enhancements, bringing improvement ideas independently.
  • Compensation Management: Manage sales compensation plans in Anaplan with accuracy and full confidentiality across the full cycle: design support, quota assignment, calculations and audit trails. Coordinate with Finance and the Commissions team to ensure accurate, timely payment for Sales and Relationship Management. Resolve commission discrepancies promptly and address the underlying root causes. Collaborate with HR and Legal on plan documentation, approvals and compliance.
  • Cross-functional Stakeholder Partnership: Act as the operational connector between Sales, Relationship Management, Finance, Legal, HR and the Salesforce platform team. Support Sales Leadership on territory design and quota setting. Train the sales organization on Salesforce, Anaplan, Tableau and other tools; create documentation that reduces repeat questions.
  • Process Improvement & AI-driven Innovation: Continuously review workflows and propose leaner alternatives. This is an expectation, not a bonus. Pilot and embed AI tools, including Salesforce Agentforce, Einstein AI and Microsoft Copilot, to automate repetitive tasks and surface better insights. Stay ahead of emerging analytics and AI capabilities in sales operations; bring actionable recommendations to leadership.

Knowledge and Experience

  • Bachelor's degree in a business-related discipline is preferred.
  • 3+ years in Sales Operations, Revenue Operations, or Business Analytics supporting a large sales organization.
  • Hands-on Anaplan experience (or comparable incentive compensation platforms) required.
  • Strong Salesforce experience: reports, dashboards, data management; admin-level familiarity is a plus.
  • Advanced Excel skills: Tableau or Power BI experience is a plus.
  • Demonstrated ownership of compensation processes end to end, including plan administration, dispute resolution, and cross-functional coordination.
  • Clear and effective communicator with the ability to translate complex data into insights for non-technical stakeholders at all levels of the organization.
  • Financial services industry experience is preferred.
  • Proactive: you act on what you see, not what you're asked, and bring solutions alongside problems.
  • AI curious: you experiment, ask what can be automated and apply new tools to real business challenges.
  • Analytically rigorous: data accuracy is non-negotiable. You catch errors before they become decisions.
  • Collaborative and credible: You earn trust across Sales, Finance, Legal and HR by being reliable and direct.

Sales Operations Analyst employer: ICE

At ICE Data Services, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Sales Operations Analyst, you'll benefit from our commitment to employee growth through continuous learning opportunities and access to cutting-edge technology. Join us in our London office, where collaboration and proactive problem-solving are at the heart of our culture, ensuring that you can make a meaningful impact while advancing your career in the financial services industry.

ICE

Contact Details:

ICE Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Sales Operations Analyst

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We think you need these skills to ace Sales Operations Analyst

Salesforce.com
Anaplan
Tableau
SharePoint
Service Now
Data Quality Management
Business Analytics

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at ICE, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at ICE

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with ICE’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.