Platform Science
San Diego, CA or Remote + 5% travel to San Diego headquarters for business reasons
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 Data Analyst is responsible for processing large amounts of raw information into strategic insights for consumption by our Product, Engineering, and Leadership teams. As a Data Analyst, this role will be 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 will help to mentor and grow the data team both in terms of technical skills and process improvements.
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
Education and 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.)
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
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 $82,500 and $149,731. 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 to skill set, work experience, relevant trainings and certifications, business needs, market demands and specific geographical location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits.
At this time we only consider candidates in these states: AL, AR, AZ, CA, CO, FL, GA, ID, IL, KY, MA, MD, MI, MN, MO, NC, NH, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, and WI. In the future we plan to add more states.
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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 Data Analyst is responsible for processing large amounts of raw information into strategic insights for consumption by our Product, Engineering, and Leadership teams. As a Data Analyst, this role will be 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 will help to mentor and grow the data team both in terms of technical skills and process improvements.
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
Education and 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.)
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
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 $82,500 and $149,731. 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 to skill set, work experience, relevant trainings and certifications, business needs, market demands and specific geographical location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits.
At this time we only consider candidates in these states: AL, AR, AZ, CA, CO, FL, GA, ID, IL, KY, MA, MD, MI, MN, MO, NC, NH, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, and WI. In the future we plan to add more states.
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