Mae is a company dedicated to providing pregnancy and postpartum support tailored specifically to Black women. It offers weekly health tracking, personalized lifestyle and care tips, and access to culturally competent experts such as doulas and lactation consultants. Mae emphasizes the importance of cultural competency in healthcare, ensuring that the unique experiences and cultural identities of Black women are respected. The platform provides a range of resources, including group classes and expert education, to empower women through self-awareness and advocacy. Mae's services are designed to support a safe and informed pregnancy journey.
health β’ wellness β’ pregnancy
2 - 10 employees
βοΈ Healthcare Insurance
π§ Wellness
π Education
π° $1.3M Seed Round on 2021-09
January 25
π½ New York β Remote
π΅ $110k - $150k / year
β° Full Time
π Senior
π Data Analyst
π¦ H1B Visa Sponsor
Mae is a company dedicated to providing pregnancy and postpartum support tailored specifically to Black women. It offers weekly health tracking, personalized lifestyle and care tips, and access to culturally competent experts such as doulas and lactation consultants. Mae emphasizes the importance of cultural competency in healthcare, ensuring that the unique experiences and cultural identities of Black women are respected. The platform provides a range of resources, including group classes and expert education, to empower women through self-awareness and advocacy. Mae's services are designed to support a safe and informed pregnancy journey.
health β’ wellness β’ pregnancy
2 - 10 employees
βοΈ Healthcare Insurance
π§ Wellness
π Education
π° $1.3M Seed Round on 2021-09
β’ Define and develop the metrics for business performance. β’ Guide the engineering team on performance measurement. β’ Become the authority on product usage and customer behavior data. β’ Identify trends and provide actionable insights. β’ Translate complex data into narratives for audiences. β’ Conduct ad-hoc analysis to support other departments.
β’ 5+ years of experience in data analysis, ideally in a product-focused environment. β’ Strong user empathy. β’ Analyze data in tech-enabled systems. β’ Strong analytical thinking. β’ Self-starter mentality. β’ Expert-level knowledge of SQL. β’ Experience with advanced analytics tools like Python, R, or similar. β’ Expertise in building and maintaining dashboards using BI tools. β’ Experience with A/B testing and statistical analysis. β’ Experience working with healthcare data sets a plus
β’ Competitive salary and equity β’ Healthcare benefits reimbursement β’ Flexible work location β’ Generous time off β’ Half-day Fridays
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