Confluent is looking to optimize and sustain a healthy marketing funnel by analyzing lead funnel efficiency, marketing measurement, and pipeline management.
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
- 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company
- Exceptional problem solving skills and detail-oriented mindset
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
- 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
- Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy
- Analyze lead funnel efficiency, marketing measurement and pipeline management
Other
- Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders
- Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc.
- 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company
- 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.
- 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.
