Remote Product and Marketing Data Analyst

About Blueprint:

Blueprint is a venture-backed, mission-driven digital health company leveraging the best of AI, consumer design, technology and clinical research to dramatically improve the quality of mental health therapy for millions.

Mental Health in the U.S. in 2024 is facing a triple crisis. 1) Depression, anxiety and other complex conditions continue to rise rapidly in the U.S. population (as does suicide), while 2) Therapists are forced to do more with less, leading to burnout and lower quality care, and 3) today’s standard of care is only effective 15% of the time, meaning 85% of people who do seek help do not get what they need to manage symptoms or begin the road to recovery.

To solve these crises, we have built the world’s first ‘Therapist Enablement Platform’. Over 10,000 clinicians today use Blueprint to leverage AI documentation automation, measurement-informed care assessments, automated workflows and hundreds of digital worksheets and other resources to save admin time, deliver high-quality therapy, and engage clients between sessions. Taken together, Blueprint’s therapist enablement platform drives dramatically better clinical outcomes, resulting in 5-10X ROI for large therapeutic practices.

About the Role:

Blueprint is expanding rapidly, and as we continue to enhance our therapist enablement platform, we are seeking a Product and Marketing Analytics Specialist who thrives in a fast-paced environment. This role is perfect for a self-driven individual who can make efficient decisions, enjoys taking the initiative to solve problems, and is skilled in data analysis across both product and marketing domains. You will be central to shaping our product experience while also driving marketing insights, using data to support key business decisions and strategy.

If you’re energized by a fast-moving setting where you can make an immediate impact, enjoy juggling multiple projects, and are adept at translating data into meaningful strategies for both product and marketing, we want to hear from you!

Key Responsibilities:

Product Analytics:

• Use SQL to create custom queries and visualizations, helping the product and engineering teams gain insights into user behavior and product performance.
• Leverage product analytics tools like Amplitude, Pendo, Heap, or Mixpanel to track and interpret user interactions within our platform, identifying trends and opportunities for product improvement.
• Work closely with the product management team to analyze user flows, feature adoption, and customer retention, translating data into recommendations for enhancing the product experience.
• Perform A/B testing analysis to evaluate the impact of product experiments, driving self-initiated decisions based on data insights.

Marketing Analytics:

• Analyze campaign performance across various channels (e.g., email, paid media, content, and social) to optimize strategies for lead generation, conversion, and user engagement.
• Build dashboards and visualizations using platforms such as Google Analytics, HubSpot Analytics, or similar tools to track key marketing KPIs (e.g., CAC, LTV, conversion rates).
• Collaborate with the growth and marketing teams to provide actionable insights that inform decisions on budget allocation, channel effectiveness, and campaign improvements.
• Set up and monitor tracking for digital marketing efforts, ensuring accurate attribution and performance analysis.

Cross-Functional Collaboration:

• Partner with stakeholders across product, marketing, and engineering to ensure alignment on key metrics, goals, and data-driven insights.
• Present findings and actionable recommendations to team members and leadership, enabling data-driven decision-making across the organization.

Qualifications:

• At least 2 years of experience in product and marketing analytics, ideally in a fast-paced, tech-driven environment or venture-backed company.
• Proficiency in SQL, with a demonstrated ability to build and interpret visualizations that lead to actionable insights.
• Experience with analytics platforms like Google Analytics, HubSpot Analytics, Heap Analytics, Amplitude, Pendo, Mixpanel, or similar tools.
• A self-driven, analytical mindset, with the ability to synthesize complex data and translate it into clear recommendations.
• Strong business analysis skills with a focus on using data to influence both product and marketing strategies.
• Excellent communication skills, with experience presenting data insights to both technical and non-technical stakeholders.
• The ability to work independently, handle multiple projects, and take initiative in a fast-paced environment.

Additional Valued Experience:

• Predictive Analytics: Experience using data to build predictive models that forecast user behavior or marketing outcomes.

• Automation Proficiency: Familiarity with automating reporting processes or data workflows to improve efficiency and real-time insights.

• Data Storytelling: Strong ability to translate complex data into clear, actionable insights that drive decision-making for non-technical teams.

• Customer Journey Optimization: Experience analyzing and improving the entire customer journey, with a focus on enhancing user experience and boosting conversion rates.

• Startup Experience: Previous experience in a startup or fast-growing environment, demonstrating the ability to adapt quickly, solve problems, and make data-driven decisions under tight timelines.

• Interesting, challenging, and meaningful work

• Work-life balance

• Competitive salary and equity

• 100% remote – no office, no commuting

• Health, dental, and vision insurance (Blueprint covers 75% of the premium for you and all dependents)

• Paid Maternal/Paternal leave

• Quarterly team gatherings (in Chicago!)

• Unlimited PTO

• Opportunities to grow with the company and shape our product

• Hardworking, mission-driven, friendly coworkers

• Reach thousands of people with your content to improve mental health

Blueprint is an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.