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Senior Data Analyst (Full-Time Contractor)

Nerdy

Brasil

Teletrabalho

USD 60.000 - 100.000

Tempo integral

Ontem
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Resumo da oferta

Nerdy is seeking a Senior Data Analyst to enhance their data strategy as part of a hybrid team. This role involves owning the data transformation layer, developing impactful reports using Looker, and collaborating with business leaders to support data-driven decision-making while maintaining high data accuracy standards.

Serviços

Competitive USD Compensation
100% Remote (Home Country Only)
Flexible Time Off
Local Holiday Pay
Continuous Learning Membership
Access to AI Tools
Feedback-Rich, Collaborative Culture
Global Impact Opportunity

Qualificações

  • Minimum of 5 years of experience in data analytics or related fields.
  • Strong proficiency in SQL and experience with BI tools.
  • Technical expertise in building data models and reports.

Responsabilidades

  • Own and evolve the data transformation layer, including model maintenance.
  • Design and develop Looker dashboards and metric definitions.
  • Build analyses to uncover trends and inform strategic decisions.

Conhecimentos

SQL
Python
Looker
BI visualization
Analytical skills
Problem-solving
Communication

Formação académica

Bachelor's degree in a technical or quantitative field

Ferramentas

Looker
Tableau
Power BI

Descrição da oferta de emprego

Overview:

Nerdy is looking for a talented Senior Data Analyst (full-time contractor) based in South America to help with our ongoing growth and expansion! The Senior Data Analyst role at Nerdy is a hybrid role that combines the responsibilities of an Analytics Engineer and a Data Analyst. It requires the technical expertise to own and maintain the data transformation layer and to enable data self-service through advanced Looker development. It also demands a strong analytical mindset to define key metrics, build impactful reports, surface trends/insights, and collaborate closely with senior business leaders. The ideal candidate will bring a rare combination of technical rigor and business fluency that allows them to bridge the gap between data infrastructure and strategic decision-making.

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 AI, 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, 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. Nerdy is a publicly traded company on the New York Stock Exchange. Learn more about Nerdy at https://www.nerdy.com/.
Nerdy’s shareholder letters below explain the product and strategy and are the most effective way to learn about what the company is building.

  • Q1-2025 Shareholder Letter
  • Q4-2024 Shareholder Letter
  • Q3-2024 Shareholder Letter

Qualifications:

  • Bachelor's degree in a technical or quantitative field (e.g., Computer Science, Information Technology, Statistics, Mathematics, or related)
  • Minimum of 5 years of experience in data analytics, business intelligence, or analytics engineering roles
  • Strong proficiency in SQL and additional programming experience (e.g., Python, R, SAS, SPSS)
  • Extensive experience with BI visualization tools (e.g., Looker, Tableau, Power BI, Qlik). Specific experience with Looker development is a big plus.
  • Strong attention to detail and commitment to data accuracy and integrity
  • Demonstrated ability to define and operationalize core business metrics in partnership with stakeholders
  • Excellent analytical and problem-solving skills with the ability to interpret complex data, identify trends, generate insights, and support data-driven decision-marking
  • Strong communication and collaboration skills; ability to translate technical findings into business-friendly narratives and partner effectively with senior leaders.
  • Comfortable working in fast-paced, cross-functional environments, managing multiple priorities while maintaining attention to detail.

Responsibilities:

  • Own and evolve the data transformation layer, including building and maintaining robust, scalable models in tools like Looker, DBT, or equivalent SQL-based frameworks.
  • Design and develop the Looker semantic layer (LookML), including views, explores, dashboards, and governed metrics that power self-service analytics across the organization.
  • Define, document, and maintain key business metrics in collaboration with stakeholders to ensure consistency and clarity in reporting and decision-making.
  • Build and deliver insightful, high-impact analyses that identify trends, uncover opportunities, and inform strategic initiatives.
  • Leverage AI and machine learning tools to accelerate analysis, automate workflows, and generate deeper insights from large and complex datasets.
  • Partner closely with senior business leaders to understand their goals, translate questions into analytical problems, and communicate findings effectively.
  • Promote self-service analytics by developing intuitive Looker experiences and training end users to explore and interpret data independently.
  • Ensure data quality and consistency by implementing testing, monitoring, and validation processes throughout the analytics stack.
  • Collaborate cross-functionally with data engineering, product, operations, and finance teams to align data efforts and deliver integrated solutions.
  • Establish and advocate for analytics best practices, including code versioning, documentation, metric standardization, and performance optimization.
  • Stay current on modern data tools and practices, continuously looking for ways to improve data workflows, performance, and usability.

Leadership & Culture Expectations:

You will embody and promote Nerdy’s leadership principles:

  • Goes Deep: You personally engage with metrics, audits, and data, ensuring you understand the "why" behind performance variances.
  • Delivers Results: You move from strategy to execution quickly, ensuring timelines and quality stay high—even in ambiguity.
  • Bias for Action: You experiment, prototype, and adjust quickly. You make the call when the path isn’t fully clear.
  • Builds Teams: You prioritize talent development, succession planning, and cross-functional collaboration.
  • Builds Trust & Communicates Openly: You lead with transparency, humility, and clarity.
  • Thinks Big & Innovates: You challenge the status quo, bring fresh ideas, and embrace emerging technologies.
  • Is Apolitical: You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

You can learn more about all of our Leadership Principles and culture here.

Unlock Your Full Potential at Nerdy:

Join our worldwide team—work from home, get great pay, and help shape the future of learning. Here’s what you get:

  • Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars.
  • 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.
  • Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.
  • Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.
  • Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.
  • Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).
  • Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success.
  • Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.
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