Revenue Operations Analyst

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💹 Revenue Operations

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Flexera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

☁️ SaaS

🏢 Enterprise

💰 Venture Round on 2021-03

SaaS • Enterprise • Cloud Computing

Flexera is a global leader in technology asset management and optimization, providing solutions to manage and optimize IT environments across software, SaaS, hardware, and cloud infrastructures. With its comprehensive suite of products like Flexera One, the company helps organizations achieve IT visibility, manage SaaS spend, and implement FinOps strategies to optimize cloud costs. Flexera also offers tools for software license management, IT asset lifecycle management, and addressing security and regulatory risks. The company's Technology Intelligence Platform bridges IT asset management (ITAM) and financial operations (FinOps), enabling enterprises to drive business transformation, maximize resource usage, and ensure sustainable IT practices.

📋 Description

• Develop and maintain reporting & dashboards measuring the performance of the GTM organisation. • Own the process end to end - gathering requirements from stakeholders across the company, interpreting what they really need and delivering reporting they can use to drive their business. • Focus areas include bookings, pipeline health, conversion rates, activity and productivity. • Analyse complex data from across the company to surface patterns, trends & risks and present clear, actionable insights to GTM leaders. • Go beyond reporting to help drive change across the revenue organisation. • Share AI knowledge and best practice across the internal community. • Work closely with Sales, Marketing, Customer Success, Partner and Finance on shared projects and be the trusted provider of data and analysis to these teams.

🎯 Requirements

• 5+ years of experience in revenue operations, sales operations or a related field. • Strong proficiency with revenue systems (e.g. Salesforce, Gainsight, Gong) and analytics and reporting tools (e.g. Alteryx, Databricks, Power BI). • Familiarity with data modelling for revenue operations use cases, such as building forecasting models. • Exceptional analytical, problem-solving and communication skills. • Comfortable working with large, complex data sets, drawing out business insights, and communicating clearly to all levels of the business. • Detail-oriented, with a process-improvement and AI-development mindset.

🏖️ Benefits

• Flexibility • Professional development opportunities