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.
About the Role
We are looking for a Data Director to lead our Data Analytics and Data Engineer teams in the next phase of growth. The role will be responsible for building the vision and execution for the data mandate at SnapCommerce, including data infrastructure, analytics and data science. You will work closely with a full-stack team of Data Analysts, Data Engineers, Data Scientists and Analytics Engineers to further enhance how our data team works with stakeholders.
We have a modern data technology stack using Stitch, Airflow, Snowflake, dbt, Looker and a proprietary logging pipeline that manages tens of millions of events per day. We have state of the art Analytic Systems: ingestion, warehousing, analysis, dashboarding and documentation. Some of this role will be to improve those systems, drive business strategy, as well as helping to grow our team of analysts and engineers into subject matter experts with technical mastery. We are looking for someone who can leverage our large-scale data on user-behaviour with our product using predictive analytics, segmentation or other initiatives that deliver business value. In this role, you will be a thought partner with business stakeholders and engineering leaders helping to build upon the algorithms that help provide a better customer experience and drive revenue growth.
We Believe in Equal Opportunity
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.