Data Analyst

Platform Science is seeking a Data Analyst to join their team. The ideal candidate will have at least 3 years of experience in data analysis and 2 years of experience with reporting and visualization tools. The Data Analyst will be responsible for processing large amounts of raw information into strategic insights for consumption by the Product, Engineering, and Leadership teams. They will also be responsible for mentoring and growing the data team in terms of technical skills and process improvements. The successful candidate should have strong SQL skills and be proficient at creating and presenting visualizations.

• Leverage modern data stack to identify, analyze, and interpret trends or patterns in complex data sets
• Work closely with product and engineering teams to define, build, and analyze meaningful KPIs for applications and systems
• Apply 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 to enable analysis
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Advocate and resource for data informed decision making
• Mentor and grow the data team in terms of technical skills and process improvements.

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