At Confluent, the business problem is to rewrite how data moves and what the world can do with it. The Marketing Data Scientist will analyze lead funnel efficiency, marketing measurement, and pipeline management to optimize marketing efforts and drive growth.
Requirements
- 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
- Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks
- 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
Responsibilities
- 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
Other
- 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company
- Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders
- Exceptional problem solving skills and detail-oriented mindset
- Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc.
- 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.
