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Marketing Data Analyst

Dataiku

United States, Remote Remote permanent

Posted: December 11, 2025

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Job Description

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.

Marketing Data Analyst - US Remote

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're seeking a Marketing Data Analyst to join our Marketing Operations & Analytics team to support our global marketing team of 60 marketers and push the boundaries of our existing analytics ecosystem. This role is critical in driving strategic and operational insights that guide our marketing strategies and execution.

As a Marketing Data Analyst, you will leverage your analytical and technical skills to provide actionable insights through ad-hoc analyses and strategic projects. You'll serve as a bridge between technical analysis and business decision-making, adapting your communication effectively for various stakeholders. You will also have the opportunity to build innovative AI-driven solutions on our Dataiku platform .

Key Responsibilities:


Partner closely with marketing stakeholders to identify key business questions and conduct robust ad-hoc analyses to drive decision making for the field and digital marketing teams


Develop strategic projects to grow the analytics ecosystem including pipeline forecasting, campaign analytics, and marketing/channel mix analysis


Own and manage key datasets and dashboards that are leveraged daily by the Marketing team, and design and build new dashboards using best in class visualizations techniques to convey insights to marketers in the easiest and most effective way possible


Build innovative solutions to open questions using advanced analytics and AI to enable the Marketing team on Predictive and Prescriptive Analytics


Collaborate with Business Operations and the Enterprise Data & Analytics teams on GTM metrics and datasets, and contribute positively to the large internal analytics community at Dataiku

Required Qualifications:


4+ years of professional experience in analytics or a data/strategy-oriented role


Experience in consulting or a similar business-facing analytical role showing an ability to translate business needs into analytical approaches and vice versa; prior experience supporting GTM, marketing / business operations within B2B SaaS or technology companies is a plus


Demonstrated experience using data to analyze pipeline performance and marketing campaigns/ROI to drive strategic decisions


Strong proficiency in Excel/Google sheets, advanced proficiency in SQL and moderate proficiency in Python for analytics purposes


Demonstrable proficiency building high quality visualizations in tools like Tableau (our primary BI Tool)


Experience with Dataiku is a big plus; all our analysis happens here


Familiarity with operations systems such as HubSpot and Salesforce


Ability to communicate clearly on technical and business concepts through storytelling and presentations

Compensation and Benefits

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.

Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.

US only national base pay ranges
$135,000—$175,000 USD

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: [email protected]

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 activity here.

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