Senior Product Data Analyst

Senior Product Data Analyst

This job is no longer open

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 Members data to deliver insights and answer questions. Our Members team focuses on both our employee mobile experiences and financial products such as early wage access, tax advantaged accounts, and personal tax optimization.

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:

  • 5+ years of experience in the financial technology or financial service sector (such as banking, credit cards, or other consumer financial products).
  • 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.

Our cash compensation range is $164,000-179,000/yr in Denver & other locations, and $192,000-210,000/yr in San Francisco & New York. Final offer amounts are determined by multiple factors, including candidate location, experience and expertise, and may vary from the amounts listed above.

Gusto’s mission is to create a world where work empowers a better life. By making complicated, impersonal business tasks simple and personal, Gusto is reimagining HR, payroll, and benefits for over 300,000 companies nationwide. Gusto has offices in San Francisco, Denver, and New York, and the company’s investors include Google Capital, General Catalyst, Kleiner Perkins Caufield & Byers, as well as the founders of Instagram, Stripe, Nest, PayPal, Yelp, Dropbox, and Eventbrite, among others.

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.