JOB SUMMARY 

The Research, Evaluation, and Data (RED) Team is a small, collaborative unit that serves the business analytics needs of the organization. As a small team, roles have lanes of emphasis, but every member of the team contributes to and collaborates on the data products we make, the analytics infrastructure we operate from, and the analyses we do.

The Data Analytics Engineer works as a member of our team with their primary focus on improving and developing our analytics platform and infrastructure. We are looking for a person who is excited about the challenge of shaping our growing analytics operations and data culture. Our organization is committed to becoming more data-driven across all departments and this role is key to establishing a strong foundation to support and enable that change. 

The analytics engineer will be primarily responsible for the design, implementation, and maintenance of our analytics platform, building upon our existing ELT pipelines to optimize them for analytical purposes.  The person in this role would be our resident expert in modeling data and designing transformation workflows to provide clean, accurate datasets so that different users within the company can work with them, especially the other members of the RED team doing analysis work. This person would also be the key liaison between the RED team and our engineering infrastructure team to advocate for data engineering needs.

The ideal candidate is someone who’s passionate and excited about our mission, working on a small team, and relishes the opportunity to envision and build up our analytics operations.

To learn more about this role within the field of Data Analytics, please see the resources below.

• Dbt - what is analytics engineering
• Analytics Engineer: Job Description, Skills, and Responsibilities
• Hiring: what is a data analytics engineer

DUTIES AND RESPONSIBILITIES

In this role you will:

• Lead the design, implementation, and improvement of our analytics platform.
• Write data transformation jobs with an eye toward optimizing performance and maintenance.
• Collaborate with the engineering team on infrastructure projects.
• Apply software engineering best practices to developing the analytics code base.
• Share in RED team responsibilities for consulting with business owners, and reporting key business metrics and analysis.
• Perform data documentation.
• Respond to ad hoc requests for data and analyses.
• Tell data-driven narratives that help our organization and teams make better business decisions.

EXPERIENCE & QUALIFICATIONS

For this role in particular we are seeking skills, experience, and expertise in

• SQL & relational database architecture.
• Data transformation workflows and associated tools (Dbt, Looker, etc.). 
• Modern data cloud infrastructure and tools (esp. AWS, and python).
• Data Communication (written, verbal, visual), including data documentation.

Additionally, the candidate should be comfortable with the basics of

• Data Visualization (e.g. Tableau)
• Data analysis techniques and methods

We seek candidates who have:

• 5+ years of work experience in analytics engineering or equivalent field.
• Dedication to the mission of driving equity in Computer Science Education.
• Comfort working with Git and the command line
• Resourcefulness and creativity to be productive in the face of ambiguous requirements and/or messy data.
• Ability to work with multiple partners, and manage multiple projects simultaneously.
• Experience working with both technical and non-technical teams.

In addition, candidates:

• Must be a U.S. Citizen or Permanent Resident
• Must pass a pre-employment background check
• Be willing to travel a minimum of two times per year for team events 
  

WHAT IS THE INTERVIEW PROCESS LIKE?

Step 1: Informational Interview - learn more about the role and share your experience (30 minutes)
Step 2: Homework (~3 hours)
Step 3: Interviews with several members of the Code.org team (~ 3 hours)
Step 4: Final Interview (1 hour)
Step 5: Reference Checks 

All interviews are currently being conducted virtually via Zoom

TO APPLY

The priority application date for this role is April 3rd and preference will be given to applications submitted by this date. Our team will review all applications and if we believe your qualifications would make a great fit, we'll contact you to schedule an informational interview.