Since 2015, Platform Science has connected fleets across the nation with the tools they need to take control of their technology. As part of our ongoing mission to transform transportation, we’ve made it easy for fleets to develop, deploy, and manage their commercial vehicles’ mobile devices and applications on a single platform.

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Through our partnerships with industry leaders at every stage of 
the supply chain, we empower fleets with endless opportunities to innovate and create solutions that evolve as their businesses grow.

We are looking for a Data Analyst to help us process large amounts of raw information into strategic insights for consumption by our Product, Engineering, and Leadership teams. As a Data Analyst, you will be the face of the Data Team to other parts of the company.

In this role you should be highly analytical, have strong SQL skills, and be proficient at creating and presenting visualizations. You have excellent communication skills both written and verbally, with proven experience communicating highly technical information to a variety of audiences.

You will be a company wide advocate and resource for data informed decision making. You will help to mentor and grow the data team both in terms of technical skills and process improvements.

Essential Responsibilities

• Leverage our modern data stack (dbt, Snowflake, Looker) in order to identify, analyze, and interpret trends or patterns in complex data sets to enable business-critical decisions
• Work closely with our product and engineering teams to define, build, and analyze meaningful KPIs for our applications and systems
• Apply your expertise in quantitative analysis, data visualization and data-mining to create data alerts and derive actionable insights
• Filter, clean, and transform data from a variety of sources in order to enable analysis
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

Experience

• 3+ years of experience as a data analyst
• 2+ years of experience with reporting and visualization tools such as Looker, Tableau, Domo, etc
• Advanced SQL skills including multiple-table joins, unions, sub-queries, CTE, aggregations, temporary tables, and analytical functions
• Technical expertise regarding all things data, including: mining, modeling, transforming, cleansing, and validating
• Ability to take vague requests and transform them into concise deliverables
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Excellent communication skills, both verbal and written
• BS in Mathematics, Economics, Computer Science, Information Management, Statistics or equivalent experience

Great to have

• Intermediate to advanced knowledge of Python
• Expertise with Looker
• Experience with Data Build Tool (dbt)
• Experience with embedded analytics solutions
• Advanced knowledge of statistics and experience using statistical packages for analyzing datasets (Python, numpy, pandas, R, Excel, etc.)