We are looking for a talented Senior Data Analyst based in Brazil to help with our ongoing growth and expansion! Varsity Tutors is a live learning platform that connects students and professionals with personalized instruction to achieve any goal. To date, students have accessed more than three million hours of live instruction on the platform.
We take great pride in the quality of our code, our processes, and our services. We have a complete CI/CD software lifecycle and an evolving services-oriented-architecture hosted in AWS. We operate in a highly collaborative environment with Product and Design to build innovative and high quality learning experiences for students.
About Nerdy
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including Machine Learning and AI (Nerdy AI Learning Products – Press Release), to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, on-demand study support, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/.
Qualifications
- English Fluency.
- Bachelor’s degree in Computer Science, Engineering, Business, Economics, Mathematics, Statistics, or related field or equivalent experience.
- 5+ years of experience as a Data Analyst
- Advanced proficiency with Excel or other analytical tools.
- Working knowledge of both SQL and Looker.
- Ability to summarize large fields of data and present and visualize this information in a compelling, digestible fashion.
- Superior analytical and quantitative skills; experience using data and metrics to test theories, confirm assumptions, and measure success.
- Ability to effectively communicate data and information to senior management.
- Comfortable diving deep into very large fields of data.
- Deep and abiding love for figuring out how things work, then relentlessly testing and optimizing to drive desired outcomes.
- Proven ability to identify, analyze, and solve ambiguous problems with an extreme attention to detail.
- Exceptional problem-solving, decision-making, and written communication skills.
- Comfortable with data wrangling; experience working with data engineers to source and efficiently operationalize new data streams.
- Forecasting or demand planning experience a plus.
Responsibilities
- Work with partners in respective domains to develop deep understanding of their use cases, data schema, develop metrics, and drive insights and decision making.
- Pull data, analyze, and communicate results. Pivot or shift approaches when necessary in response to what you learn.
- Identify optimization opportunities, areas of high variance; provide guidance on operational improvements.
- Generate robust data reports at both high (summary) and low (verbose deep-dive) level. Clear presentation and communication of data and highlights is key.
- Strive to reduce friction through automation of reports, consolidation of data sources, and exploration of additional metrics and data points to track.
- Drive learning and optimization of funnel through experimentation, creative iteration, and A/B testing.
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)