Data Analyst, Platform Science

• 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

Desirable

• 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