Product & Marketing Data Strategist

About Mentalyc

We redesign therapy—and we don’t take no for an answer.

“Impossible” gets us excited. We chase hard problems, missing questions, and truths no one’s cracked. We think big, fight hard, and stare fear in the face.

Mentalyc started in 2021 when analyzing therapy sessions seemed untouchable. Investors passed. We proved them wrong. We grew on revenue, product-market fit, and relentless experimentation.

Today we lead the fast growing AI scribe therapists market. We have millions in revenue from thousands of clients. And we are just getting started.

We’re building a future where therapy is measurable, effective, and radically transformed. We won’t stop until we get there.

What we offer:

• Visionary Leadership: Ambitious founders dedicated to transforming therapy and reducing global suffering.
• Meritocratic Autonomy: Full freedom to choose your working style—judged solely by your results.
• Rapid Career Growth: Exceptional ownership and intellectually stimulating challenges tailored for high performers.
• Bootstrapped & Profitable: Sustainably successful, revenue-driven growth without investor dependence.
• Pioneering Innovation: First-ever projects leveraging complex data to redefine the future of mental healthcare.

Responsibilities:

• Perform advanced statistical analysis to derive key insights and guide product and marketing 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.
• Implement and promote best practices in data-informed 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!