Senior Customer Operations Analyst

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.

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