Snapcommerce is a high growth company that sits at the intersection of mobile commerce and fintech. Our flagship product Snaptravel allows millions of users around the world to book their travel over messaging. We are currently in the scale-up phase of the company with plans to grow from ~100 employees to ~300+ employees as fast as possible while maintaining the competitive advantages and culture of being a startup

With a high-performing team of world class leaders, Snapcommerce thrives on tackling complex problems within AI, E-commerce, and Conversational Design to push the boundaries of the value we can add to our user’s lives!

At Snapcommerce, we pride ourselves on the performance-driven environment we’ve created for our team to prosper and excel. Our values are rooted in making data driven-decisions and risk-taking actions that add value to both the user and the company. 

Please note that although this position at Snapcommerce is remote friendly, candidates must be located and authorized to work in the US/Canada as a precondition of employment. Snapcommerce does not sponsor applicants for work visas.

We are looking for an Analytics Engineer Intern to join our growing Data & Analytics team! Analytics engineers live at the intersection of analytics and data engineering -- they work closely with analysts, engineers, and business stakeholders to bring data into our ecosystem and model it. As Analytics Engineer Intern at Snapcommerce, you'll help build analytics infrastructure that lays the foundation for effective reporting and analysis across the company. You'll have lots of autonomy to create impact while tackling complex technical challenges, and you'll work directly with producers and consumers of data on a full-stack data team.

Challenges You'll Solve

• Example Projects:
• Use SQL and dbt to build a reporting table or model a new dataset
• Build a dashboard to report on key metrics in Looker
• Ingest a new dataset using Fivetran, Stitch, and/or Airflow
• Write queries against our data warehouse to mine our data for insights

About You

• You have experience writing SQL, preferably to serve reporting or analytical purposes
• You have experience working with analytics or using reporting tools like BI platforms
• You have written scripts in Python or other languages to process data
• You learn quickly, regardless of the languages and technologies used
• You thrive on solving complex problems with logical, well-reasoned solutions

Targeted Degrees and Disciplines

• Theme - Computing: Software
• Theme - Data Analytics, Statistical Analysis and Mathematical Optimization
• Theme - Information Science and Data Management
• ENG - Electrical and Computer Engineering
• ENG - Software Engineering
• ENG - Systems Design and Biomedical Engineering
• MATH - Computer Science

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.