As a Data Science Analyst reporting to the VP - Client Success Management, you'll play a critical role in transforming complex customer and product data into actionable insights that shape product strategy, enhance customer experience, and inform roadmap decisions. You'll work across diverse and evolving data sources to build scalable analytical frameworks and translate findings into clear, data-driven strategies.

You'll thrive in this position if you're analytical, collaborative, and passionate about using data to drive real business impact in a fast-paced, high-impact environment.

Key Responsibilities

• Design scalable analytical frameworks to evaluate diverse datasets across customer, product, and operations domains.
• Aggregate and harmonize structured and unstructured data into unified customer insight models.
• Build, deploy, and maintain AI/ML models to identify patterns in sentiment, feature demand, and churn risk.
• Translate data findings into clear, actionable insights that inform product prioritization and roadmap decisions.
• Partner with Product, UX, and Customer Success teams to define key experience metrics and develop dashboards that provide real-time visibility into customer trends.

Required Qualifications

• Bachelor's degree in Data Science, Analytics, Statistics, Computer Science, or a related field, or equivalent practical experience.
• Strong experience analyzing large, complex datasets (structured and unstructured).
• Proven ability to develop and apply machine learning models in a product or customer analytics context.
• Expertise in data visualization and dashboarding tools.
• Clear communicator with the ability to translate technical insights into business impact for diverse audiences.

Preferred Qualifications

• Experience in product analytics, customer experience, or SaaS environments.
• Familiarity with natural language processing (NLP) and sentiment analysis techniques.
• Exposure to cloud-based data platforms and modern data infrastructure.

This position will be located in San Francisco, CA or Boston, MA and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

What We Offer

We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.

The base pay range for this role is $95,000 - $166,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Nasdaq's programs and rewards are intended to allow our employees to:

• Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
• Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
• Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
• Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
• Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities

For more information, visit Nasdaq Benefits & Rewards Career page