Work In Tech

Do you care deeply about making life better for data people? We’re looking for an Analytics Engineer to join us at Thinkific.

As an Analytics Engineer on Thinkific’s Data team, you’ll help scale analytics at Thinkific by ensuring that data infrastructure is high quality, performant, resilient, and optimized for business impact. You will contribute to the architecture of our data pipelines, model data to empower data consumers across the company, reduce redundancy and risk, and improve quality. Applying both your experience with engineering principles and your experience as a data analyst, you’ll improve on our development process and design datasets to support multiple use cases and ultimately delight data enthusiasts across Thinkific.

Your goal will be to increase the productivity of everyone who uses data at Thinkific. Here’s how you’ll accomplish this:

• Contribute to our data infrastructure layer to ensure we build performant, high-quality and cost-effective data sets that scale and are optimized for business impact
• Apply your past experience in engineering best practices to the data pipeline development process (tests, documentation, code reviews, monitoring, etc.)
• Work with data analysts to design summarized datasets that support multiple use cases, and ultimately delight data enthusiasts across the company
• Develop our Data team’s ML/AI capabilities by evaluating and integrating emerging technologies and making them usable by Thinkers of varying technical skills
• Help build a supportive and candid Data team culture and operate with Thinkific’s core values and principles

The person we have in mind likely:

• Has 3+ years of experience as an Analytics Engineer, or an equivalent combination of software engineering and data analytics experience
• Understands how data analysts and business users use data to drive decisions
• Possesses strong SQL skills, with additional experience in Python or another general programming language
• Is comfortable with “modern” data stack tooling (Stitch/Fivetran, dbt/DataForm, Looker/Tableau, etc.) and cloud data warehouses (BigQuery/Redshift/Snowflake, etc.)
• Routinely uses git or another version control system in their workflow
• Can communicate and collaborate with stakeholders across an organization, regardless of their technical expertise
• Loves to learn and grow. They’ve found (and keep looking for) ways to level up their skills in this field, whether that’s through formal education, gaining professional experience, or maybe even building their own business

These things would also be nice, but we think you could learn them on the job:

• Knowledge of Google Cloud Platform solutions as they apply to data analytics
• Interest in making modelled data accessible to internal services and external consumers (via API, or something else?)
• Using Terraform or other IaC tooling to manage cloud data infrastructure
• Familiarity with dimensional data modelling (you have an opinion about whether Kimball applies to modern data warehouses)

Diversity, Equity, Inclusion and Belonging & Accessibility

This is just our initial idea of who we’re looking for! At Thinkific, we know that people have unique career journeys. If your experience is close to what we’ve described but you feel that you might be missing a few of the requirements, please still apply! We believe in equal opportunity and are committed to diversity, equity, inclusion and belonging across every facet of our business.

We’re also committed to providing a comfortable and accessible interview experience for every candidate. If there are any accommodations our team can make throughout our hiring process (big or small), please let us know.