Sales marketing [h1.location_city]

Location :

Remote, United States

Employment Type : FullTime

Location Type : Remote

Department

Finance & Operations, Data

Compensation : $160.1K – $188.1K

• Offers Equity

At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click here ().

Overview

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

About the Role

As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel.

What You Will Do

Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross‑functional teams, contributing to improvement amongst top‑of‑the‑funnel conversion metrics.

Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs.

Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy.

Design and execute A / B tests to measure the impact of product features and launches, providing insights that guide iterative improvements.

Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV, etc. to identify opportunities for growth and optimization.

Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making.

What You Will Bring

3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company.

Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python / R).

Proficiency in data visualization and building dashboards with tools such as Tableau.

Excellent communication skills, and ability to collaborate effectively with technical and non‑technical stakeholders.

Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A / B testing frameworks.

Exceptional problem‑solving skills and detail‑oriented mindset.

Bachelor or advanced degree in a quantitative discipline : computer science, engineering, statistics, economics, etc.

What Gives You an Edge

Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods.

Understanding of the B2B Marketing Stack, Salesforce objects.

Ready to build what's next? Let’s get in motion.

Come As You Are

Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

We’re proud to be an equal opportunity workplace. Employment decisions are based on job‑related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

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