WHAT YOU'LL DO

• Guide clients on optimizing their data environment to work most effectively and efficiently for them.
• Develop a data model around stated use cases to capture client’s KPIs and data transformations.
• Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
• Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
• Support, maintain, and document clients’ data environments.
• Travel to client sites 25-50% on average.

WHAT YOU BRING TO DAS42

• Bachelor's degree in a technical or quantitative field (e.g. Math, Statistics, Economics, Computer Science)
• 1 to 2 years of work experience in the data analytics space.
• A passion for exploring and solving different kinds of problems.
• Advanced in SQL.
• A desire to learn and assimilate technical information quickly.
• Bonus points for:
  • Exposure to developer tools/workflow (e.g. git/github, SSH).
  • Knowing how to get around a command line environment.
  • Experience with the AWS or Google Cloud ecosystem (BigQuery, Redshift).
  • Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
  • Experience with data warehousing.
  • Experience optimizing database/query performance.
  • Proficiency with a scripting language (e.g. Python, R, Perl, bash)