Product Data Analyst

About Gusto

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. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy. 

Product Data Analyst

About Gusto

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 as well as Remote locations throughout the United States, serve more than 300,000 businesses nationwide.

Gusto is looking for highly skilled and motivated Data Analysts to surface insights about our customers, our business, and our product. As a Data Analyst, you will play a crucial role in leveraging data to drive strategic decision-making and contribute to the overall success of our organization. The ideal candidate is a skilled data storyteller with a strong analytical mindset, top-notch SQL skills, dedication to keeping data accurate and documented, an eye for data visualization design, and a passion for applying these skills to help small businesses thrive.

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. If you have domain expertise in these areas, please indicate it in your application:

• Senior Analyst in Financial Products - several years experience and excellent data story-telling skills with a background in payments, banking, credit card or other consumer financial products preferred.
• Mid-level analyst in Risk and Fraud - we are especially looking for a curious and astute data detective who can dig deeply into incidents and derive lessons that help us continuously improve our ability to identify credit risks and fraudulent actors.
• Mid or entry level analysts who work closely with products and features within the app, surfacing insights and metrics to help us understand our product and customers.  

Here’s what you’ll do day-to-day:

• 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. 

Here’s what we're looking for:

• 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.

At Gusto, we