Analytics Engineer

We are an end-to-end data consulting company with a remote team located throughout the United States (and beyond). We are a team of data engineers, web developers, data scientists, and product folks who help guide our clients through the entire life-cycle of their data analytics journey. Our deep experience and intellectual curiosity are what make us different.

Our clients range from start-ups to enterprises and operate in industries from finance to healthcare to e-commerce. Our projects range from a 5-week business analytics “jumpstart” to months-long analytics and engineering support. We use tools like GCP, dbt, Fivetran, and Looker. In each case, our mission is to help clients’ businesses become more productive by making data-driven decisions.

Tasks

As Analytics Engineer, you’ll work with our clients as a critical participant in their BigQuery and Looker analytics journey. This will require you to understand each client’s needs from an organizational, process, and technological perspective.

There are two critical components of your work: development and education.

Education: The education component of your work will center around Looker enablement and co-development. You’ll work side by side with client technical teams to guide them on LookML modeling best practices, ensuring they build robust, scalable analytics foundations. This includes leading interactive working sessions, conducting hands-on workshops to develop models and explores together, and answering in-depth questions about Looker’s semantic layer.

Development: The development component of your work will include technical tasks such as designing, implementing, and maintaining data models in Looker, ETL pipelines, and building actionable dashboards.

If you thrive on solving complex problems using the best industry tools and are passionate about bringing your expertise to contribute to our clients’ business growth, this is the job for you.

Requirements

We’re looking for an outstanding teammate with the following background and skills:

• Fluent in English
• Excellent presentation skills
• 5+ years of data analytics or data engineering experience
• Strong SQL and LookML skills
• Hands-on experience with modern data stack tools, primarily in GCP (i.e. BigQuery, Looker, Vertex AI)
• Ability to manage multiple clients and act as a primary data partner to their business
• Strong ability to translate business requirements into technical solutions
• Able to accommodate meetings in the Eastern Time Zone
• React a plus

Considerations:

• This is a remote position within a small team; independence and proactivity are essential.
• Flexibility is required, as you may need to take on tasks outside of the usual job scope.
• Openness to learning and resilience to setbacks are important, as trial and error will be part of the job.

Application Process:

• Apply with your resume.
• Complete a brief questionnaire sent via email.
• Screening meeting
• Participate in a SQL skill-based assessment (approximately 60 minutes).
• Final interview via video call with team members.

We encourage you to apply and look forward to getting to know you!