Data Scientist, Marketing at Confluent
United States, North Carolina, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Jun, 25

Salary

188100.0

Posted On

17 Mar, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Marketing/Advertising/Sales

Description

Position at Confluent Inc
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we’re creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.
One Confluent. One team. One Data Streaming Platform.
Data Connects Us.

Responsibilities

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
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