Data Analyst

Summary

Join Platform Science as a Data Analyst and leverage our modern data stack (dbt, Snowflake, Looker) to translate raw data into strategic insights for Product, Engineering, and Leadership teams. You will be the primary data expert, collaborating closely with other teams, building KPIs, creating data visualizations, and mentoring team members. This highly analytical role requires advanced SQL skills and a strong understanding of data analysis techniques. The ideal candidate possesses 3+ years of experience as a Data Analyst and a BS in a relevant field. Platform Science offers a competitive compensation package and a comprehensive benefits program.

Requirements

• 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

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
• Help to mentor and grow the data team both in terms of technical skills and process improvements

Preferred Qualifications

• 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.)

Benefits

• 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