Data Analyst

Responsibilities 
Gather requirements to build and maintain data analyses, risk triggers / rules, visualizations and interactive dashboards that will drive business decisions and risk monitoring (in BI tools, web analytics platforms, and excel) 
Facilitate the analytical needs of the business, collaborate in the design of diagnostic solutions, and deliver outstanding data products and insights 
Use internal and external analytics tools, SQL, and scripting languages to access and analyze multivariate data 
Perform deep analyses to help us understand our data better and help build out robust risk management and monitoring tools and reports for the business 
Use emerging tech and tools to evaluate trends and develop actionable insights 
Use data to independently uncover problems and business opportunities 
Support data migrations in order to automate repeatable tasks and KPI tracking throughout the business 
Track and analyze performance of various business and risk segments and programs to evaluate effectiveness 
Build analysis, data visualizations, and multi-functional reporting that provides critical support to the operations and decision-making of the organization 
Help translate business functional requirements into technical specifications and, conversely, technical approaches into easily digestible terms 
Provide analytics expertise to key business partners regarding data & analytics 
Support Commercial, Marketing & Risk teams with process improvements for optimized delivery of diverse data requests 
Support business partners in adopting reporting solutions and business intelligence tools for self-service 
Write LookML and SQL queries and build dashboards in Looker 
Systematically identify issues with data quality and help find solutions to address 
Assist with ad-hoc projects and tasks as necessary 
Desired Skills/Education
Bachelor’s degree or equivalent experience
2-4 years of experience in data analytics 
2-4 years of experience in designing and authoring reports/dashboards using Looker (or similar tools like Tableau, Power BI) is required.
Proven proficiency and flexibility to perform analysis in SQL, Excel, BI tools, or whatever is best suited for the problem 
Proven proficiency in basic statistics
Strong communication skills 
Proven experience with web analytics tools 
Proven experience with business intelligence tools (Looker Required) and relational databases
Prior experience with Data Science languages like Python, and/or R is preferred.
Familiarity with ETL, data warehousing, and data modeling
Expert SQL skills for complex querying, analysis, performance optimization, and persisting data 
Experience demonstrating analytical concepts to craft an actionable story for technical and non-technical audiences
Understanding of data warehousing concepts, design, modeling, data engineering
Skilled in analyzing, interpreting and summarizing data 
Very structured, detail-oriented and excellent data visualization skills
The requirements listed below are representative, but not all inclusive, of the knowledge, skill, and/or ability required.