Responsibilities:

• Expand our data warehouse with clean data, ready for analysis.
• Follow and improve our processes for maintaining high quality data and reporting.
• Advocate for improvements to data quality, security, and performance that have a particular impact across our team and the organization.
• Help to define and improve our internal standards for style, maintainability, and best practices for a high-scale data infrastructure.
• Collaborate with data engineers on infrastructure projects and advocate for and emphasize the business value of applications.
• Maintain deliverables, projects, and timelines for your business stakeholders.
• Communicate findings clearly to a broad range of stakeholders.

Requirements:

• Experience in an Analytics Engineering or "Full Stack Data Analyst" role.
• Experience working with Python and SQL to generate business insights and drive better organizational decision making.
• Belief in DataOps
• The command line and Git.
• A solid understanding of data warehouses and business intelligence tools.
• Clear and direct communication skills about complex technical topics.
• A record of working autonomously, with strong organizational and time management skills.

How You'll Ramp

By the 30 day mark, you'll be...

• Working in our BI tool, writing SQL queries to produce dashboards
• Comfortable participating in on-call rotation without a named backup

By the 60 day mark, you'll be...

• Comfortable working with dbt via the command line
• Comfortable answering questions on your own
• Contributing to internal conversations on data organization and structure

By the 90 day mark, you'll be...

• Comfortable building a new data source from scratch
• Showing team members answers in the right tool
• Regularly contributing to documentation and housekeeping improvements for the team