Analytics Engineer

EquipmentShare is searching for an Analytics Engineer to join our team. This position is fully remote.

What You’ll Do as an Analytics Engineer

Despite having been fundamentally altered by earlier industrial revolutions, the construction industry has hardly budged with the computer revolution. In fact, since 1970, labor productivity in the US construction industry has actually declined, despite it more than doubling in the rest of the economy. This has contributed to housing shortages and the parlous state of infrastructure in some places, and is sanding the gears of carbon reduction efforts.

We think the industry is ripe for change, and we’re pushing the leading edge of that change with our next generation T3 Platform, the OS for Construction. Through T3, we help contractors to coordinate humans and (increasingly smarter) machines to build more effectively.

As an Analytics Engineer in our small and quickly growing team, you will play a major role in this effort. In particular, you will:

Establish sound pipelines and clear table structures for a wide variety of metrics used by both the business analytics and data science / ML engineering parts of the organization
Work closely with the rest of the Data Science & Analytics Platform team to enable cutting edge algorithms, causal inference and analytics within a fast-moving environment, while adhering to industry best practices in terms of data access, security, traceability, etc

About You as an Analytics Engineer

Our mission is to change an entire industry, so we only hire people inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in a crucial industry for human welfare.

Minimum Qualifications for an Analytics Engineer

Undergraduate degree, or equivalent practical experience, in computer science, machine learning, software engineering, statistics or related field
2+ years working on technology-powered products as either a data platform engineer, data engineer, ML engineer, analytics engineer or a closely related role
Experience with data modeling: specifically the creation of dimensional models and fact tables (Data Vault experience not necessary but would be a plus)
Demonstrated understanding of the techniques and methods of modern product development
Demonstrated understanding of business analytics
Strong cross-functional communication skills
Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time

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