Career | Product Analyst with Data Science | Mentalyc

Product Analyst with Data Science


Mentalyc


Remote / world wide

  • Job Type: Full-Time
  • Function: Data Science
  • Industry: HealthTech/Digital Health
  • Post Date: 02/12/2024
  • Website: www.mentalyc.com
  • Company Address: San Francisco, California 94114, US
  • Salary Range: $50,000 - $150,000

About Mentalyc

AI tools for therapists. Our first product is an AI-scribe, which extracts therapy notes directly from a video call (telemedicine), saving up to 30% of therapists' working time. We plan on further expanding into therapy analytics, helping therapists make better decisions.

Job Description

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:

  • Conduct advanced statistical analysis, including regression models and cohort analysis, to uncover key insights.
  • Develop, manage, and fully understand key product KPIs within a product-led growth model.
  • Collaborate with multidisciplinary team members to inform product strategy and roadmap.
  • Identify and analyze user segments based on behavior, needs, or attributes.
  • Analyze the quality of AI-generated notes and interpret user feedback to drive product improvement.
  • Utilize business intelligence tools to deliver periodical reports and ad hoc data queries to aid cross-department decision-making.
  • Develop and manage comprehensive dashboards and reports that monitor key business and product metrics.
  • Translate complex data analysis into clear, understandable, and actionable business recommendations.

Requirements:

  • Bachelor’s degree in Business, Computer Science, Statistics, Data Science, or a related field.
  • Minimum of 3 years of experience in a data analysis role, preferably in a product-focused environment.
  • Proficiency in SQL, Python, 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.
  • Strong familiarity with Generative AI in web applications.
  • Proven ability to translate data into strategic insights that drive successful business outcomes.

Personal Qualities:

  • Strong attention to detail and accuracy in work.
  • Proactive mindset with the ability to work independently and collaboratively.
  • Natural curiosity and a passion for understanding user behavior and data.
  • 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, affiliate 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.
  • Basic understanding or interest in machine learning and AI.

 

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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