Data Science Analyst – Customer & Product Intelligence

ADTM Adenza Technology de Mexico S de RL de CVSan Francisco, CA
Hybrid

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

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.

Benefits

  • 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
  • Comprehensive medical, dental and vision coverage
  • Health spending account with employer contribution
  • Paid flex days to support mental wellbeing
  • Gym membership discounts
  • Paid parental leave
  • Fertility benefits
  • Paid bereavement leave
  • Company gift matching program
  • Employee resource groups
  • Paid volunteer days
  • Education Assistance Program
  • Robust job skills training and Professional development opportunities
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