Senior Analytics Engineer

EquipmentShare • Kansas City, MO

340d • $90,000 - $130,000

About The Position

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.

Requirements

• 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

Nice To Haves

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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level