Job Information
EquipmentShare Senior Analytics Engineer in Columbia, Missouri
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.
