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Data Analyst
Posted on 8/12/2022
San Francisco, CA, USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
Google Cloud Platform
  • Own the transformation of raw, semi-structured datasets into a standardized schema in our cloud-based data warehouses
  • Work closely with data scientists and data engineers to extract insights from data
  • Apply an inquisitive approach and strong technical skills to identify subtle patterns in massive, integrated datasets, proactively identifying source data issues as well as new opportunities to improve our models, algorithms, and product
  • Become an expert in airline data, including its purpose, interconnectivity, and relevance to our models
  • Uncover new opportunities for scalable, repeatable tools and processes for future implementations
  • Ideate, develop, and ship production-grade data pipelines, client-facing dashboards, and metrics readouts
  • Apply your exceptional communication skills to build effective, trusting relationships with internal stakeholders and customers alike
  • This role may have on-call responsibilities as needed
  • Advanced SQL - You know your way around analytical and aggregate functions, complex joins, window functions, and are confident in wrangling all types of data in SQL
  • Strong Python skills - You are well-versed in common data science libraries such as Pandas and NumPy but are also able to write basic Python code that is clean, well-documented and tested
  • You are highly curious and willing to dive into data to uncover the truth and discover actionable insights. You are always asking relevant questions and you know how to find answers within data
  • You are a strong communicator and team player and have experience collaborating across multiple teams and external partners
  • You have 3+ years of experience tackling similar problems academically and/or professionally and a proven history of delivering results
Desired Qualifications
  • Experience working with large datasets for ETL activities; experience with task orchestration tools like Apache Airflow is a plus
  • Experience with data visualization (Tableau, Looker, etc.) and cloud computing platforms (GCP, etc.) is a plus

201-500 employees

AI-powered total revenue management software