Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide. Our mission is to create a world where work empowers a better life, and it starts right here at Gusto.
In this role you will work closely with our Data Science, Business Intelligence, Finance, Product and other teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits and HR data to deliver insights and answer questions. We have multiple roles open: senior, mid-level and entry level, each focused on a different area of our business.
Responsibilities:
- Data Analysis: Collect, clean, and analyze data to extract meaningful insights and identify trends, patterns, and correlations relevant to our business, products and services.
- Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to effectively communicate key findings and trends to stakeholders.
- Performance Tracking: Monitor and evaluate the performance of our products and services, conducting regular data-driven reviews and providing actionable recommendations for improvement.
- Work hand-in-hand with other members of our Data Team - Data Science, Business Intelligence, and Data Platform - to drive a data informed mindset across the company through education, role modeling.
- Demonstrate a Builder Mindset by being responsive, building and iterating quickly, taking ownership of the data need and opportunities in your area, being curious, and overall producing data products that help the business.
- Experience working with and analyzing complex datasets including QA, querying, summarizing, visualizing and reporting findings.
- Strong SQL skills
- Excellent project management skills
- Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
- Data Modeling: Collaborate with the data engineering team to design and implement data models that facilitate data analysis, reporting, and business intelligence needs.
- Data Quality Assurance: Ensure data integrity and accuracy by conducting regular data audits, identifying and resolving data quality issues, and implementing data governance best practices.
- Business Insights: Collaborate with cross-functional teams, including product managers and business strategists, to provide data-driven insights and support decision-making processes.
