Analytics Engineer

EquipmentShare is Hiring an Analytics Engineer

EquipmentShare is looking for an Analytics Engineer to join our team. This position is completely remote.

What You’ll Do as an Analytics Engineer

Despite previous industrial revolutions making substantial changes, the construction industry has been largely unaffected by the computer revolution. In fact, since 1970, labour productivity in the US construction industry has actually decreased, despite it more than doubling in the rest of the economy. This has resulted in housing shortages and the deteriorating state of infrastructure in some locations, as well as hindering carbon reduction efforts.

We believe the industry is ready for change, and we’re at the forefront of this change with our next generation , the OS for Construction. Through T3, we aid contractors in coordinating people and (increasingly intelligent) machines for more effective building.

As an Analytics Engineer in our quickly expanding team, you will play a pivotal role in this venture. Specifically, you will:

• Set up reliable pipelines and transparent table structures for a variety of metrics used by both the business analytics and data science/ML engineering sectors of the organisation
• Work closely with the rest of the Data Science & Analytics Platform team to enable state-of-the-art algorithms, causal inference and analytics within a rapidly-paced environment, while maintaining industry best practices in terms of data access, security, traceability, etc

About You as an Analytics Engineer

Our goal is to transform an entire industry, so we only hire individuals who are motivated by this ambition and prepared for the challenge. In return, our employees have countless opportunities to develop with us, achieve personal and professional success, and contribute to a vital industry for human well-being.

Minimum Qualifications for an Analytics Engineer

• Undergraduate degree, or equivalent practical experience, in computer science, machine learning, software engineering, statistics or a related field
• 2+ years working on tech-powered products as a data platform engineer, data engineer, ML engineer, analytics engineer or in a similar role
• Experience with data modelling: specifically creating dimensional models and fact tables (Data Vault experience is not necessary but would be beneficial)
• Demonstrated understanding of modern product development techniques and methods
• Demonstrated understanding of business analytics

• Effective cross-functional communication skills
• Must be eligible to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time

Why We’re a Better Place to Work

• Competitive compensation packages
• 401 (k) and company match
• Health insurance and medical coverage benefits
• Unlimited paid time off
• Generous paid parental leave
• Volunteering and local charity initiatives to help you nurture and grow the communities you belong to
• Opportunities for career and professional development with conferences, events, seminars, continuous education
• State-of-the-art onsite gym (Corporate HQ)/Gym allowance for remote employees

Since we were established in 2015, we’ve seen phenomenal growth — and have no plans to slow down. Ready to invest in our purpose, invest in yourself, and discover a better place to work? We’d love to meet you.

At EquipmentShare, it’s more than just a job — it’s a calling. Apply today.

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.