EquipmentShare is Hiring a Senior Analytics Engineer.

EquipmentShare is searching for a Senior Analytics Engineer. You will serve as the point person for transforming EquipmentShare's fleet operations and supply chain business and analytics needs into a scalable and repeatable structure. You will partner with Operations and Finance stakeholders and the Fleet Operations team to create and monitor data pipelines, with a focus on developing processes and architecture efficiently and for the first time. Our ideal candidate sits at the intersection of Analytics and Data Science.

Salary range: $90k-$130k. Factors including past experience and location may affect final compensation rate. 

Primary Responsibilities

• Build and maintain data models quickly, refining over time to get production models
• Reduce tribal complexity of querying data
• Develop pipelines and testing automation to ensure data quality and integrity
• Strong owner in developing business-centric data models with minimal guidance and
  comfort deriving answers from ambiguity
• Codify business rules into data models/testing
• Develop  and  manage  data  pipelines using  SQL and Python that  extract  data  from
  various sources and transform it according to business rules
• Straddle the data architecture and operations worlds, choosing the right tool at the right
  time to make the right decision for the business
• Convert business needs into technical specifications and establish a timetable for job
  completion
• Create, test, and deploy changes
• Continuously monitor, improve, and proactively identify potential issues to improve the
  data pipelines and ETLs

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 that help you nurture and grow the communities you call home
• Stocked breakroom and full kitchen (corporate HQ)
• State of the art onsite gym (corporate HQ)/Gym stipend for remote employees
• Opportunities for career and professional development with conferences, events, seminars, continued education

About You 

The opportunity for career growth is unparalleled at EquipmentShare, where you’ll find no
shortage of challenging yet fulfilling work, chances to build new skills and supportive teammates who will push you to achieve your best.

Our mission to change an entire industry is not easily achieved, so we only hire people who are 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 an industry that’s long been resistant to change.

If you’re an analytics engineer with a deep passion for data, EquipmentShare could be the perfect place for you. With a fast-paced, fast-growing company environment, the opportunity for professional growth and development is unparalleled. At EquipmentShare we have a strong belief and support in supporting the business with data; as a result, processes and models you build will drive real impact on analytics across the company.

Skills & Qualifications 

Minimum Qualifications: 

• 5+ years of SQL experience, creating complex SQL solutions to business problems
• 2+ years of Python experience, creating scalable processes to solve business problems
• 3+ years of experience data modeling and schema design
• 3+ years of data visualization experience
• Experience working with DBT
• Desire to thrive in a high-paced environment
• Strong ability to adapt and be flexible within the scope of a given project as vision,
  priorities, and timelines shift

Preferred Qualifications:

• Experience working operational and supply chain data sets and techniques. 
• Snowflake experience
• Experience with Senior (Director and VP) Stakeholders
• Stats application experience

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.