Super Dispatch is looking for a Data Engineer (contract) to focus on creating credible data sources and building compelling stories that drive action. This temporary role is expected to start mid-November to early December, with the end date to be determined.

The Analytics team focuses on automating manual reporting processes, delivering actionable insights to our internal business stakeholders, and providing enterprise-level reporting. We are seeking someone driven by curiosity, energized by problem solving, and passionate about continuous learning in the data analytics community.

Responsibilities:

Own:

  • Be the go-to person for SQL on the analytics team, assisting team members with their queries.
  • Create and manage data sources for company-wide consumption.
  • Contribute to the Analytics team’s GitHub repository by adding clean, QA’d SQL queries.
  • Manage our Redshift instance and user permissions.
  • Plan and write queries to create published data sources for reporting.
  • Understand and document the meaning behind the data to enable business decision-making.
  • Deliver ad-hoc reports and collaborate with other Data team members to streamline and automate processes, ensuring data consistency, integrity, and transparency.
  • Utilize tools (Notion, Git, Jira, etc.) to track project workflow and changes.
  • Build and deploy DBT models.

Assist:

  • Work closely with other internal teams to understand their data needs and create reporting solutions.

Preferred Profile:

Tech:

  • 2+ years of experience using SQL queries, RDBMS query functions (Amazon Redshift, MS SQL Server), and writing custom calculations.
  • 2+ years of experience in Data, Data Analytics, or Business Intelligence, with expertise in data collection, interpretation, analysis, and visualization.
  • Proficiency with data pipeline tools Census, Fivetran, Segment, and DBT for modeling and managing data workflows.
  • Experience with project management and version control tools Notion, Git, and Jira.
  • Strong understanding of business metrics and how to translate them into data solutions.
  • High attention to detail with the ability to create efficient, scalable SQL queries.

Who you are:

  • Analytical thinker with strong problem-solving skills.
  • Detail-oriented with the ability to understand and manage complex data relationships.
  • Motivated by continuous learning and staying current with data analytics trends.
  • Able to work collaboratively across teams to deliver results.