At a Glance
- Tasks: Support global sales operations and manage Salesforce/CPQ configurations.
- Company: Join Experian, a leader in data analytics and global commercial operations.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact by driving governance and developing insightful Power BI dashboards.
- Qualifications: Experience with Salesforce/CPQ and strong analytical skills required.
The predicted salary is between 40500 - 49500 £ per year.
Experian is seeking a Revenue Operations Analyst to support global commercial operations within the EDQ team, collaborating with regional sales ops across NA, UK/EMEA and APAC.
You’ll own Salesforce/CPQ configurations, drive governance, and develop global Power BI dashboards.
You will partner with the Revenue Operations Lead, providing 2nd line Salesforce/CPQ support and translating change requests into actionable stories for global developers.
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Global Revenue Operations Analyst — CRM, CPQ & Analytics in London employer: Experian
Experian is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals looking to make a significant impact in the field of engineering. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to lead cutting-edge projects in AI and cloud technologies. Located in a dynamic environment, Experian offers competitive benefits and a supportive atmosphere that encourages work-life balance and professional development.
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We think this is how you could land Global Revenue Operations Analyst — CRM, CPQ & Analytics in London
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We think you need these skills to ace Global Revenue Operations Analyst — CRM, CPQ & Analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Experian. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
