Analytics Engineer
AutoStore
Denver, Colorado / Derry, New Hampshire / Remote
AutoStore Retail Solutions is building the next generation SaaS platform for grocery retailers. We help grocers embrace state-of-the-art technology in order to create first-class online experiences for their customers and increase efficiency within their warehouse operation. As part of this, we provide our clients with a full set of applications ranging from e-Commerce websites, mobile/tablet apps, customer and order management systems, meal/recipe planning tools, and warehouse picking solutions.
Our team offers a great mix of craftsmanship (i.e. solving problems in rigorous ways) and creativity (i.e. exploring interesting problems with R&D, prototypes, etc). In the former category, we have invested in good tools, we aim to release features frequently, and we take the time to ensure our products are well tested and well documented. In the latter category, we nurture a learning environment through Lunch n’ Learns, we leverage a version of Google’s 20% time for free-form creative exploration, and we encourage exploration and collaboration to achieve our goals.
If you are interested in being a part of this kind of team and want to help grocers embrace the digital age, we would be happy to hear from you!
Responsibilities:
We are looking for an Analytics Engineer who can help grow our data-focused organization. We have a great data foundation built upon the modern data stack, e.g. Fivetran for data extraction, Snowflake for data warehousing, and dbt for data transformations. You will be the first dedicated Analytics Engineer to join our team of software engineers, data analysts, etc. In that role, you will be responsible for driving the success of AutoStores Analytics programs through the production, documentation, and curation of certified data sources and models, and through the empowerment of data exploration for end-users throughout the organization.
In this role, we expect you to be the bridge between the technical parts of our platform and the needs of our end-users. In the former, you’ll be responsible for overseeing the structure and development of the data modeling & business intelligence tools, and working with our data engineers to guide the needs for more advanced parts of the data stack. In the latter, you will engage with many stakeholders - product managers, analysts, clients, etc. - in order to ascertain the reporting and modeling needs of the organization and to introduce best practices and tools to the team for helping the organization maintain a strong and cutting-edge data culture.
Skills and Experience:
Extras