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- Tasks: Support global teams with data insights and operational guidance to enhance efficiency.
- Company: Join Dataiku, a leader in AI technology, shaping the future of analytics.
- Benefits: Enjoy flexible working options, a collaborative culture, and opportunities for personal growth.
- Why this job: Make a real impact in a fast-paced environment while driving innovation and process optimisation.
- Qualifications: 3-5 years in business operations or strategy, strong data analysis skills, and project management experience required.
- Other info: Be part of a diverse team that values every individual's unique contributions.
The predicted salary is between 43200 - 72000 £ per year.
Dataiku is The Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
We are seeking a highly analytical, resourceful and diligent individual to join our Revenue Operations team in London. This role will focus on supporting our global Solutions Engineering and Customer Success (SE & CX) organisation by providing data insights, operational support, and strategic guidance to help drive operational rigour and discipline across this org.
You will partner closely with global SE & CX leadership as well as cross-functional leadership, including Analytics, Professional Services, Finance, Product, Enablement, and more; this role will be key in driving strategic go-to-market initiatives, focusing on KPIs like User Adoption, ARR Growth, Time to Value (TTV), Gross Dollar Retention (GDR), Net Dollar Retention (NDR), etc.
You will be responsible for a diverse range of projects spanning data analysis and modelling, process optimisation and change management, day-to-day maintenance and improvement of our key customer reporting like our Customer 360 dashboard.
How you\’ll make an impact:
Partner directly with SE & CX leadership on critical organisational and operational projects designed to increase team productivity and operational efficiency. e.g. headcount and capacity planning
Build strong relationships within the wider Revenue Operations team as well as analytics, systems, and enablement teams to ensure smooth collaboration, tight cross functional alignment and consistency when rolling out process improvement or new programs
Lead end to end projects from scoping to execution by gathering and synthesizing data, process design, developing final recommendations, and final roll-out
Ongoing quantitative and qualitative analysis of business performance – extract key insights, metrics, and trends to support daily operations, leadership QBRs and/or offsites
Translate data into insights to action and deliver/communicate recommendations to customer leadership and the broader organization on growth opportunities
Proactively identify and redefine processes and systems that improve and scale our business and consistently contribute to operations strategy and roadmap
What you\’ll need to be successful:
3-5+ years of professional experience in business operations, sales operations, business strategy or consulting, ideally experience operating in a high-growth SaaS company
Excellent eye for business – you are able to quickly understand the sensibility of a critical initiative, interpret high level concepts and frameworks, and execute appropriately
Strong data analysis experience required – Gsheet, Excel, SQL, DSS
Highly analytical and able to digest large, multi-layered data sets and extract insights that are relevant and practical to drive decision making
Data visualisation experience required – Tableau or other analytics/BI platforms
Experience aligning and coordinating cross-functional partners and stakeholder management at a global scale when rolling out new initiatives or driving operational execution
Experienced in project management, hyper organised, driven by deliverables, and used to working with people from different backgrounds
Problem solving mindset and curious to a fault in wanting to understand the in and outs of everything you run into and not afraid to get your hands dirty when solving problems
Flexible, adaptable, adept at change management, comfortable working in ambiguous environments
Great communication skills, able to clearly articulate and present complex situations and concepts
The ideal candidate is excited to work in a fast-paced organisation and excels at deriving insights from data, solving problems, and driving process optimisation and change management. You must have strong organisational skills, an analytical mindset, a solid understanding of operational excellence, and excellent communication & relationship management skills.
#LI-Hybrid #LI-SC1
What are you waiting for!
At Dataiku, you\’ll be part of a journey to shape the ever-evolving world of AI. We\’re not just building a product; we\’re crafting the future 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! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page .
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activityhere.
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Senior Customer Operations Analyst employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Customer Operations Analyst
✨Tip Number 1
Familiarise yourself with Dataiku's AI platform and its features. Understanding how our no-, low-, and full-code capabilities work will give you an edge in discussions during the interview process.
✨Tip Number 2
Brush up on your data analysis skills, particularly in tools like Gsheet, Excel, SQL, and data visualisation platforms like Tableau. Being able to demonstrate your proficiency in these areas will be crucial for the role.
✨Tip Number 3
Prepare examples of past projects where you've successfully led cross-functional initiatives. Highlighting your experience in project management and collaboration will resonate well with our team-oriented culture.
✨Tip Number 4
Showcase your problem-solving mindset by thinking of potential challenges Dataiku might face in operational efficiency. Presenting thoughtful insights during your interview can set you apart as a proactive candidate.
We think you need these skills to ace Senior Customer Operations Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in business operations, sales operations, or consulting, especially within a high-growth SaaS environment. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Highlight specific projects or experiences that showcase your analytical skills and ability to drive operational efficiency, as mentioned in the job description.
Showcase Data Skills: Emphasise your data analysis and visualisation skills in your application. Mention specific tools you are proficient in, such as Gsheet, Excel, SQL, or Tableau, and provide examples of how you've used these tools to derive insights and support decision-making.
Demonstrate Communication Skills: Since strong communication is key for this role, ensure your application reflects your ability to articulate complex ideas clearly. Consider including examples of how you've successfully communicated insights or recommendations to stakeholders in previous roles.
How to prepare for a job interview at Dataiku
✨Showcase Your Analytical Skills
As a Senior Customer Operations Analyst, you'll need to demonstrate your strong analytical abilities. Be prepared to discuss specific examples of how you've used data analysis to drive decision-making in previous roles. Highlight your experience with tools like Gsheet, Excel, and SQL.
✨Understand the Business Context
Make sure you have a solid grasp of Dataiku's business model and the SaaS landscape. Familiarise yourself with key performance indicators (KPIs) relevant to the role, such as User Adoption and Net Dollar Retention. This will help you articulate how your skills can contribute to their goals.
✨Demonstrate Project Management Experience
This role involves leading end-to-end projects, so be ready to discuss your project management experience. Share examples of how you've scoped, executed, and delivered projects successfully, especially in cross-functional settings.
✨Prepare for Behavioural Questions
Expect questions that assess your problem-solving mindset and adaptability. Prepare to share instances where you've navigated ambiguity or implemented process improvements. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
