Senior Revenue Operations Analyst, Business Development
Senior Revenue Operations Analyst, Business Development

Senior Revenue Operations Analyst, Business Development

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Support the Business Development team with insights and operational guidance to drive revenue growth.
  • Company: Join Dataiku, a leading AI platform company transforming data into actionable insights since 2013.
  • Benefits: Enjoy a dynamic work environment, opportunities for personal growth, and collaboration with global teams.
  • Why this job: Be part of the AI revolution and make a real impact in a fast-paced, innovative company.
  • Qualifications: 3-5+ years in Revenue Operations or related fields, with strong analytical and communication skills.
  • Other info: Work independently in a vibrant culture that values innovation and continuous improvement.

The predicted salary is between 36000 - 60000 £ per year.

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

We are seeking a highly analytical and results-driven Senior Revenue Operations Analyst to join our Revenue Operations team in London. This role will primarily support the Business Development (BD) team by providing insights, operational support, and strategic guidance to help drive pipeline generation, revenue growth and improve business development performance. The ideal candidate will have a deep understanding of sales top of funnel processes, business development tools, and overall operational efficiency, with a focus on leveraging data to optimise pipeline generation performance. You must have strong organisational skills, an analytical mindset, a solid understanding of operational excellence, and excellent communication & relationship management skills.

How you'll make an impact:

  • Business Development Support: Act as the main operational partner for the Business Development team, providing critical analysis and strategic insights to enhance lead generation, qualification, and conversion processes.
  • Business Development Tech Stack Ownership: Own and manage the entire Business Development tech stack, including tools used for lead generation, prospecting, sales automation, and CRM (Outreach, LinkedIn Sales Navigator, Cognism, Zoominfo, LeanData…). Evaluate and recommend new technologies to optimise BD workflows and ensure seamless integrations across systems.
  • Vendor Relationship Management: Build and maintain strong relationships with technology vendors, collaborating with them to implement best practices for the tools in the BD tech stack and ensuring that the team effectively leverages these tools to reach their goals.
  • Lead Generation Process Optimisation: Work with the BD and Sales teams to streamline and automate workflows, ensuring alignment with company pipeline generation goals and KPIs. Identify process inefficiencies and recommend data-driven solutions.
  • Data Analysis & Reporting: Analyse top of funnel activity and pipeline data, identify trends, and develop actionable insights to improve the BD team’s efficiency, productivity, and pipeline generation contribution. Provide regular reporting to leadership on pipeline generation performance and opportunities for growth.
  • Performance Tracking: Develop and maintain dashboards, reports, and other tools to track KPIs for BD activities, ensuring transparency and accountability across teams.
  • CRM Management: Ensure the BD team is effectively utilising the CRM (Salesforce, Outreach, etc.) to track leads, emails, calls, opportunities, and conversions. Regularly audit and clean CRM data to ensure accuracy and completeness.
  • Cross-functional Collaboration: Partner with Marketing, Sales, Partner, and other departments to align on BD strategies and support company-wide pipeline generation objectives. Assist in creating sales enablement materials and tools.
  • Strategic Insights & Recommendations: Provide actionable insights based on data analysis, helping the BD leadership team make informed decisions around go-to-market strategy, targeting, and resource allocation.
  • Continuous Improvement: Stay up-to-date on best practices, trends, and technologies in Revenue Operations and Business Development to continuously improve processes and performance.

What you'll need to be successful:

  • 3-5+ years of experience in Revenue Operations, Sales Operations, Business Operations, Business Development, or a related field, preferably in a high-growth SaaS or technology company.
  • Strong understanding of the SaaS sales lifecycle, with experience supporting Business Development or Sales teams.
  • Proficiency in sales tech stack (e.g., Salesforce, Outreach, Zoominfo, Cognism, LinkedIn Sales Navigator, 6Sense…) is a strong plus.
  • Advanced skills in data analysis and reporting using tools like Excel, Google Sheets, and BI tools (Tableau).
  • Exceptional problem-solving skills and the ability to think strategically while executing tactically.
  • Strong communication skills, with the ability to present complex data in a clear and actionable way.
  • Proven ability to work cross-functionally with sales, marketing, partner, and leadership teams.
  • Self-motivated, proactive, and able to work independently in a fast-paced, dynamic environment.

What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!

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Contact Detail:

Dataiku Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Revenue Operations Analyst, Business Development

✨Tip Number 1

Familiarise yourself with the specific tools mentioned in the job description, such as Salesforce, Outreach, and LinkedIn Sales Navigator. Having hands-on experience or certifications in these platforms can set you apart from other candidates.

✨Tip Number 2

Network with current or former employees of Dataiku on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the role.

✨Tip Number 3

Prepare to discuss your analytical skills and how you've used data to drive business decisions in previous roles. Be ready to share specific examples that demonstrate your ability to optimise processes and improve performance.

✨Tip Number 4

Stay updated on the latest trends in Revenue Operations and Business Development. Being knowledgeable about industry best practices will not only help you in interviews but also show your commitment to continuous improvement.

We think you need these skills to ace Senior Revenue Operations Analyst, Business Development

Analytical Skills
Data Analysis
Sales Operations
Revenue Operations
Business Development
CRM Management
Proficiency in Salesforce
Proficiency in Outreach
Proficiency in Zoominfo
Proficiency in Cognism
Proficiency in LinkedIn Sales Navigator
Advanced Excel Skills
Google Sheets Proficiency
Experience with BI Tools (e.g., Tableau)
Problem-Solving Skills
Strategic Thinking
Communication Skills
Cross-Functional Collaboration
Vendor Relationship Management
Process Optimisation
Performance Tracking

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in Revenue Operations, Sales Operations, or Business Development. Use keywords from the job description to demonstrate that you meet the specific requirements of the role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical mindset and problem-solving skills. Mention specific tools and technologies you have experience with, such as Salesforce or Outreach, and explain how you've used them to drive results in previous roles.

Showcase Data Analysis Skills: In your application, provide examples of how you've used data analysis to improve business processes or performance. Highlight any experience with BI tools like Tableau or advanced Excel skills, as these are crucial for the role.

Demonstrate Cross-Functional Collaboration: Mention instances where you've successfully worked with different teams, such as Marketing or Sales, to achieve common goals. This will show your ability to collaborate effectively, which is essential for the position.

How to prepare for a job interview at Dataiku

✨Understand the Business Development Tech Stack

Familiarise yourself with the tools mentioned in the job description, such as Salesforce, Outreach, and LinkedIn Sales Navigator. Be prepared to discuss how you have used similar tools in your previous roles to optimise lead generation and sales processes.

✨Showcase Your Analytical Skills

Prepare examples of how you've used data analysis to drive business decisions in past roles. Highlight specific metrics or KPIs you've tracked and how your insights led to improved performance in business development or sales.

✨Demonstrate Cross-Functional Collaboration

Be ready to share experiences where you've worked with different teams, such as marketing or sales, to achieve common goals. Emphasise your communication skills and how you can bridge gaps between departments to enhance operational efficiency.

✨Prepare for Problem-Solving Scenarios

Anticipate questions that assess your problem-solving abilities. Think of challenges you've faced in revenue operations and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

Senior Revenue Operations Analyst, Business Development
Dataiku
Location: London
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  • Senior Revenue Operations Analyst, Business Development

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • D

    Dataiku

    201-500
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