Data Scientist, Marketing

Confluent

101d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees