Sr. Data Analyst

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.

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

Platform Science Benefits Highlights

The company offers various benefits to regular, full-time employees including: 

• Medical, dental, and vision insurance
• Short-term and long-term disability insurances
• AD&D and life insurance
• 401k plan
• Paid vacation, sick leave and holidays
• Six weeks of paid parental leave

For more information please see the Benefits Highlights brochure for regular, full-time employees.

In addition, you can access the Benefit Highlights brochure for regular, full-time employees by copying and pasting the link into your browser: https://www.platformscience.com/benefits.

This is an exempt role. Our job titles for each posting may span across more than one job level. The estimated base salary for this role is between $115,000 and $185,000. The range displayed on each job posting reflects the minimum and maximum target range for new hire base salaries across all US locations. Compensation packages are based on many factors unique to each candidate, including but not limited t