Senior Product Growth Analyst with Data Science

• Level: Senior

• Job type: Full-time (contract)

• Location: Global - Remote

• Team: Product, AI, Data Science, Growth

What We Offer:

  • Opportunity to work at the intersection of psychotherapy, AI, and cutting-edge technology.
  • Collaborative work environment with a diverse and international team.
  • Flexible working hours and remote work options.
  • Competitive pay based on experience and qualifications.
  • Opportunities for professional growth and development in the mental health field.
  • Learn from experienced leadership: a CEO with a background in McKinsey and entrepreneurship, and a CTO with 10 years of machine learning and full-stack development experience.

Responsibilities:

  • Perform advanced statistical analysis to derive key insights and guide product strategy, including regression and cohort analysis.
  • Oversee key product KPIs within a product-led growth framework, integrating user segmentation based on behavior and needs.
  • Set up and maintain comprehensive dashboards in Mixpanel, Metabase, and Google Analytics, ensuring data is accurately sent and integrated.
  • Collaborate with cross-functional teams to align product roadmap with insights from data analysis and user feedback.
  • Use business intelligence tools for essential reporting and maintain quality assurance metrics.
  • Develop and manage data science features, ensuring effective display and integration in partnership with design.
  • Translate data analyses into clear business recommendations to enable strategic decision-making.

Requirements:

  • Bachelor’s degree in Business, Math, Statistics, Computer Science, Data Science, or a related field.
  • Minimum of 5 years of experience in a data analysis role, with a strong focus on product and marketing analysis.
  • Proven understanding of product and marketing dynamics; we are not seeking candidates with a primary background in banking or finance.
  • Proficiency in SQL, Python, statistics libraries, and business intelligence tools.
  • Advanced understanding of statistical analysis, data visualization, and predictive modeling.
  • Proven experience performing cohort analysis, user segmentation, and predictive modeling to forecast user behavior and trends.
  • Proven ability to translate data into strategic insights that drive successful business outcomes.
  • Experience with A/B testing.
  • Familiarity with Mixpanel, Metabase, and Google Analytics, including setting up dashboards and data integration.

Personal Qualities:

  • Strong attention to detail and accuracy in work.
  • Proactive and entrepreneurial mindset with the ability to work independently and collaboratively.
  • Natural curiosity and a passion for understanding user behavior and data.
  • Deep interest in Math and Statistics.
  • Ability to manage multiple projects simultaneously and work under tight deadlines.
  • Strong business acumen and ability to translate complex data into understandable narratives for a variety of audiences.

Nice to Have:

  • Experience with marketing analysis, understanding SEO, CRM, performance marketing, and self-service strategies.
  • Experience with mental health documentation data.
  • Experience with Vertical SaaS, particularly Electronic Health Records (EHRs).
  • Experience or knowledge of the mental health industry from both provider and payer perspectives.
  • Experience working in early-stage hyper-growth startups.

We are an equal opportunity employer and value diversity in our company. We encourage candidates from all backgrounds to apply. If you are passionate about data and want to make a significant impact on our product's development, we would love to hear from you!


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