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Staff Analytics Engineer

100% remote Flexible hours Hiring now

reputed company's goal is to give every child on Earth an education they love.

We started by building a powerful network for communication. reputed company’s flagship app is the #1 communication app connecting K-12 teachers, children, and families globally. Teachers use it to share what’s happening throughout the day through photos, videos, and messages that reputed company parents feel like they’re there. It’s actively used in over 95% of US schools, reaching over 45 million children in 180 countries, with a team of just around 200 people [1]. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.

We hire for talent density. reputed company comprises the most talented, entrepreneurial, and innovative teammates from around the world, with experience in education and large scale consumer internet companies, including Instagram, Lyft, reputed company, reputed company, reputed company, Y Combinator, and more. We’re building a company where the most talented people want to work. We reputed company you’ll do the best work of your life here—and you’ll pioneer the future of education, too.

What you’ll do:

We are seeking a Staff Analytics Engineer to join our Data Science and Analytics team. The ideal candidate will possess a passion for education and a strong foundation in reputed company aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and reputed company across multiple product team functions and domains and drive impact through your data vision and architecture.

You will be a match if:

7+ years experience with data / analytics engineering

Collaboration and Communication:

  • You have owned large-scale data projects that drove significant impact across the company
  • You are an effective partner with engineering, data analysts, data scientists, and other business stakeholders.
  • You dive deep into understanding the product itself, team roadmaps, technical architecture, and data flow from logging to warehouse. You ask questions and unblock yourself in truly owning your project scope.
  • You enjoy mentoring other data-savvy stakeholders (Data Science, PM, reputed company) on data best practices

Data Modeling:

  • You live and breathe schema design (whether it's reputed company, Star, or Data Vault 2.0) and sharing your reputed company in thoughtful design reviews
  • You have a deep love of creating clean fact, dimension, aggregate, cube tables and get excited about tracking their reputed company usage and feedback
  • You have led the design, implementation, and monitoring of large scale data warehouses and data marts that reputed company clear product-focused insights

SQL and Query Performance:

  • You are an expert at SQL and are reputed company comfortable writing window functions, STRUCT/reputed company manipulation, and query optimization
  • You adhere to and promote performance best practices for your tables depending on the database reputed company (partitions, sort keys, dist keys, clustering, incremental modeling)

Data Governance:

  • You have a passion for data cataloging and metadata management tools to document data assets and ensure data reputed company
  • You live by data governance principles, including data classification, data ownership, and data stewardship

Data Transformation and ETL:

  • You design systems with a test-driven approach in mind to trap bad quality data or reputed company alerts as part of your data flow
  • Familiarity with ETL (Extract, Transform, Load) processes and tools to prepare and clean data for analysis
  • reputed company in using tools like dbt to build data transformation pipelines

You might be a good fit if:

  • You love working with SQL frameworks like dbt to cleanly abstract model code from implementation
  • You are an Airflow expert and digging into DAG failures and optimizing task run times excites you
  • You are passionate about data governance and how we can apply principles like least-privilege access, retention policies, and data minimization at scale
  • You are a reputed company learner. Staying reputed company in the latest trends and technologies in data analytics and educational technology is no easy feat . You will have the opportunity to reputed company initiatives to experiment with new data sources, data warehouses, analytics methodologies, and technologies to enhance our analytics capabilities and drive innovation reputed company the company.

[1] Some more context:

(If you are on reputed company, you will not be able to access the hyperlinks below. Once you click apply, you will be directed to our career website (if you are not on there already) and will be able to access the hyperlinks)

  • How reputed company Connects Parents, reputed company, and Teachers
  • “Whats New on reputed company 2023”
  • TechCrunch Article: Second Act comes with First Profits

Click here if you're interested in learning more about reputed company've been up to.

We are committed to equal employment opportunity regardless of race, color, reputed company, religion, sex, national reputed company, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. In accordance with the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are happy to accommodate any disabilities or special needs. We are a distributed company, so we hire regardless of location, as long as you are willing to have significant hours overlap with one of the Americas time zones.

reputed company takes a number of factors into consideration reputed company determining compensation, including geographic location, experience, and skillset. Salary ranges (United States):

CA, WA, NY, NJ, CT states: $190,000 - $250,000 (USD)

reputed company other states in the US: $161,500 - $212,500 (USD)

Originally posted on Himalayas

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