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Senior Data Analyst

Varsity Tutors, a Nerdy company, is seeking an innovative Senior Data Analyst based in Chile to join our team and work on impactful initiatives providing decision support to business leadership through quantitative analysis mining our data for opportunities, and technical development of new data pipelines and reporting. The Senior Data Analyst will be responsible for collecting, transforming, and organizing our data to find insights, make predictions, and drive to the next decision. 

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‚Äôs purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy‚Äôs comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats‚ÄĒincluding one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy‚Äôs flagship business, Varsity Tutors, is one of the nation‚Äôs 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 


  • Bachelor‚Äôs 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 tool

  • Working knowledge of SQL

  • 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.

  • Experience with Looker a plus.

  • Forecasting or demand planning experience a plus


  • 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


  • Competitive Salary (paid in USD)

  • Fully Remote Position

  • Flexible Paid Time Off

  • Free Learning Membership for you and your household (1-1 tutoring hours, unlimited use of on-demand services, and access to our online classes)

  • Once-in-a-lifetime opportunity to help transform how the world learns!

  • Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture

This job is closed
But you can apply to other open Remote Data Analyst jobs