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 a Senior Analytics Engineer to join our growing Data & Analytics team! As a Sr. Analytics Engineer at Snapcommerce, you will build foundational data infrastructure to support our expansion into new e-commerce verticals. You will own the analytics infrastructure for these products end-to-end -- from data ingestion to reporting -- ensuring high data quality and availability. You will work with the business, engineering, and analytics teams to lay the foundation for effective reporting and analysis needed to scale up these ventures. As a senior member of the team, you’ll promote strong standards throughout the organization and help level-up team members through the adoption of software engineering best-practices.

Key Challenges

• Data-driven Culture: you will be an ambassador for our data-driven culture, taking data and using it to answer business questions and drive strategy & decision making
• Data Management: you will ingest, clean and organize raw data in a way that makes sense for both you and the team. 
• Project Management: you will lead data projects from ingestion to reporting, showing your ability to manage scope, work with ambiguity
• Collaborative Execution: You will liaise between Business, Engineering and Data to translate business requirements into proper data capture and schema design
• Data Strategy: You will help shape the data model at Snapcommerce, which will advance our broader analytics strategy
• Teamwork: You will coach data analysts and junior analytics engineers, helping them level-up technically and adopt software-engineering best practices

About You

• 3+ years of work experience as an analytics engineer, data engineer, or full stack data analyst
• You are proficient in SQL, with an emphasis on readability and performance
• You are a data modelling expert, and have designed schemas at previous organizations (bonus points for using dbt)
• You have a strong understanding of data warehouses and the modern data stack
• You have a track record of delivering projects, including datasets that were used to drive key business decisions
• You can self-serve by building ELT pipelines using off-the-shelf tools, Singer taps, or simple DAGs in Airflow.
• You have experience leveraging tools and best practices for data governance, data quality testing, and documentation
• You can clearly communicate about technical subjects to non-technical people

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.