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.

About the Role:

The Senior Data Analyst is responsible for processing large amounts of raw information into strategic insights for consumption by our Product, Engineering, and Leadership teams. The Senior Data Analyst is the face of the Data Team to other parts of the company. This role is highly analytical, utilizes strong SQL skills, and is proficient at creating and presenting visualizations. This role is a company wide advocate and resource for data informed decision making. They 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 within the data team

Education and Experience:

5+ years of experience as a Data Analyst

3+ 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.)