Senior Data Analyst

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Teachable

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Teachable is a platform designed to help creators, educators, and entrepreneurs build and sell online courses, coaching sessions, digital downloads, memberships, and communities. It offers a suite of tools including sales and marketing features, AI capabilities, analytics, a mobile app, and a site builder, allowing users to customize their offerings and scale their businesses. Teachable supports a wide range of industries from personal development to technology, empowering over 150,000 creators to share their knowledge and earn income effectively. With an emphasis on user-friendly interfaces and comprehensive support services, Teachable ensures a quality experience for both creators and their students.

Online Education • Online Course Creation • eLearning • Coaching • Digital Product

51 - 200 employees

Founded 2013

📚 Education

🛍️ eCommerce

☁️ SaaS

📋 Description

• Teachable is trusted by creator-educators around the world to grow their impact and income. • Reporting to the Head of Data, you will collaborate with business and product teams to validate hypotheses, answer complex business questions, help the company in uncertain scenarios, perform data experiments, and disseminate actionable insights. • This is a fully remote role based in Brazil, and you’ll collaborate closely with teams across the U.S. and Brazil. Your work will follow Brasilia Standard Time, and you’ll be hired as a CLT contract employee with compensation in BRL. • At Teachable, we are committed to providing fair and competitive pay, rewarding high performance, and ensuring all employees have the opportunity and ability to impact Teachable’s overall company value. • Teachable encourages individuals from a broad diversity of backgrounds to apply for positions.

🎯 Requirements

• 3 + years of experience within data analytics and/or data science. • Strong curiosity for uncovering insights from data. • Proven experience in delivering data studies focused on generating and sharing actionable data. • Deep understanding of statistical methods, including hypothesis testing and statistical modeling. • Proficiency in SQL for extracting data directly from source systems. • Ability to perform data cleaning and processing steps using Python or R languages. • Sharp critical thinking and analytical problem-solving abilities. • Enjoy working in a dynamic environment with fast learning and deliveries. • Advanced English proficiency (conversational, listening, writing.) • Hands-on experience in building Machine Learning models.