Data Analyst

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

The Data Analyst at Platform Science is responsible for processing large amounts of raw information into strategic insights for consumption by our Product, Engineering, and Leadership teams. This role is a company wide advocate and resource for data informed decision making. They will help to mentor and grow the data team both in terms of technical skills and process improvements. This role utilizes strong SQL skills and is proficient at creating and presenting visualizations.

Who We Are

At Platform Science, we’re working to connect everything that moves. Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe. Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation. We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

Essential Responsibilities

• Leverage our modern data stack (dbt, Snowflake, Looker) 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.

Requirements

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

Great to Have

• Intermediate to advanced knowledge of Python