The company needs a Data Analyst to process large amounts of raw information into strategic insights for consumption by Product, Engineering, and Leadership teams.
Requirements
- 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
- 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.)
Responsibilities
- Leverage modern data stack (dbt, Snowflake, Looker) 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
Other
- 3+ years of experience as a Data Analyst
- 2+ years of experience with reporting and visualization tools such as Looker, Tableau, Domo, etc
- BS in Mathematics, Economics, Computer Science, Information Management, Statistics or equivalent experience
- Excellent communication skills, both verbal and written
- 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
