Associate Data Scientist, Marketing

Lensa; Indianapolis (IN); On-site; USD 63,000 - 163,000; Full time

Job summary

A leading company is seeking an Associate Data Scientist specializing in marketing to analyze data and improve decision-making processes. This role focuses on funnel efficiency, metrics development, and cross-functional collaboration within a high-growth environment. If you have a quantitative background and want to make a significant impact, join this innovative team in Indianapolis.

Qualifications

• 2+ years of experience in data science or analytics.
• Experience in B2B SaaS preferred.
• Ability to communicate effectively with technical and non-technical audiences.

Responsibilities

• Analyze marketing and sales data to improve funnel conversion.
• Build metrics to measure success and monitor pipeline health.
• Collaborate with data scientists to enhance data-driven culture.

Skills

SQL

Python

Data Visualization

Marketing Attribution

Predictive Modeling

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Tableau

Job description

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Lensa is a U.S. career site that helps job seekers discover job opportunities. We are not a staffing firm or agency. We promote jobs on behalf of our clients, which include employers, recruitment agencies, and marketing partners.

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.

About The Role

The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are exciting opportunities for an experienced data scientist to make a significant and visible impact within a high-growth company.

As an Associate Data Scientist, Marketing at Confluent, you will play a key role in analyzing lead funnel efficiency, evaluating marketing performance, and supporting pipeline management. You will partner closely with stakeholders across Marketing, Growth, Sales, and Finance to drive insight generation and strategic decision-making. This role blends hands-on analytical work with business context and cross-functional collaboration to ensure our go-to-market strategies are data-informed.

What You Will Do

• Explore marketing and sales data to identify opportunities for improving funnel conversion and pipeline generation.
• Define and refine marketing metrics to measure success, and build scalable reporting to monitor pipeline health and performance drivers.
• Translate well-defined business questions into analytics problems, select appropriate approaches, and communicate clear results to managers and business partners.
• Apply deep dive analysis, predictive modeling, or experimentation to drive product & go-to-market (GTM).
• Analyze customer journey phases—from awareness to conversion—leveraging metrics like ROI, CLTV, and CAC to uncover optimization opportunities.
• Collaborate with other data scientists to share techniques, improve processes, and contribute to a data-driven culture across Confluent.
  
  

What You Will Bring

• 2+ years of experience in data science or advanced analytics, with at least 1–2 years supporting a marketing or go-to-market function—preferably in a B2B SaaS environment
• Strong proficiency in SQL and intermediate Python / R skills.
• Experience building and maintaining dashboards and data visualizations using tools like Tableau or similar platforms
• Demonstrated ability to communicate insights effectively to both technical and non-technical audiences
• Working knowledge of marketing attribution techniques and A/B testing methodologies
• Strong problem-solving skills and attention to detail
• Bachelor’s or Master’s degree in a quantitative field such as computer science, statistics, economics, or engineering
  
  

What Gives You An Edge

• Hands-on experience with marketing measurement and attribution across SEO, paid media, email, and other channels
• Familiarity with Salesforce and the B2B marketing tech stack
• Exposure to causal inference, customer segmentation, or predictive modeling techniques
• Experience working in cross-functional pods with stakeholders across Sales, Finance, and Product
  
  

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of 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 applicable law.

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. This position has an hourly estimated pay of $62 - $71 / hour. 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 (https://confluentbenefits.com/) .

Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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