Analytics Engineer II

What will you do:

Collaboratively build dashboards and models using transactional data, asset management principles and other vehicle fleet-related metrics. These tools empower our client-facing user groups, who deliver insights to clients on how best to manage their fleet.

Our tools, dashboards, reports and methods answer questions like “When should I replace vehicles?” “How can I reduce my fleet’s carbon footprint”, “what’s driving my costs this year?” “how much can I expect to spend in maintenance if I don’t replace any units this year?” and others.

Through this work you will help advance the application of data science to the fleet management industry.

We are a small team of Data Analysts (\<10). We work collaboratively, checking each other’s work as we go and building each other’s skills in the process. We have recently added PowerBI and Azure to our tool stack and are looking to bring an expert user onto our team to help us maximize the possibilities quickly.

Required Skills:

Critical thinking as a leading strength
Strong proficiency with Power BI
Descriptive statistics foundation
Strong Communicator
Proven ability to problem-solve with data (5+ years)
Proven ability to manage and complex projects with multiple stakeholders and data sources (3+ years)
Working knowledge of relational databases (in order to collaborate smoothly with information teams)
Passionate about QA and documentation of everything you build

Education:

BA/BS Preferably in the field of: Data Science, Statistics, Mathematics, Business or Computer Science
MBA with analytics focus, Finance, or a technical master’s degree

Preferred Skills:

Forecast models
Advanced functions of Tableau
Business Objects/ Bi4 for complex reporting and visuals
Strong proficiency with SQL (Oracle, MSSQL Server, Postgres, etc.)
Power BI
DAX (Power BI related)
Power Query
SSRS
MS Azure tools
Python

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