At a Glance
- Tasks: Design and optimise workflows in Clay and Salesforce to empower GTM teams.
- Company: Join Statista, a leading data-driven company in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovative data solutions.
- Why this job: Make a real impact by enhancing pipeline generation with your analytics skills.
- Qualifications: 2-4+ years in Revenue/GTM ops with strong Clay and Salesforce expertise.
The predicted salary is between 49500 - 60500 £ per year.
Statista is hiring for a Revenue Operations-focused role in London to design, build, and optimize Clay workflows and Salesforce structures that enable GTM teams across regions. You’ll translate strategic priorities into data-rich account views and scoring models, while refining signals to boost pipeline generation.
We seek a pragmatic analytics-minded professional with 2–4+ years in Revenue/GTM ops, strong Clay and Salesforce skills, and a proven track record in building outbound data workflows.
Hybrid RevOps Lead: Salesforce & Signals in London employer: Statista
Statista is an excellent employer for those seeking to make a significant impact in the field of sales enablement. With a dynamic work environment and hybrid options, employees benefit from a culture that prioritises professional growth and collaboration across departments. The company offers numerous employee benefits, ensuring that team members are supported both personally and professionally as they enhance the skills of over 300 sales professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid RevOps Lead: Salesforce & Signals in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Statista!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Hybrid RevOps Lead: Salesforce & Signals in London
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 Statista, 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 Statista
✨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 Statista’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.
