Senior Data Analyst

Denver, CO;San Francisco, CA;New York City;Atlanta, GA;Chicago, IL;Los Angeles, CA;Seattle, WA

 

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

Gusto is looking for highly skilled and motivated Data Analysts with at least 5 years experience applying their expertise in a business environment. 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 senior roles open, each focused on a different area of our business. 

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 needs and opportunities in your area, being curious, and overall producing data products that help the business. 

Here’s what we're looking for:

  • At least 5+ years experience in a similar role, ideally at a product-focused software company.
  • Experience working with and analyzing complex datasets including QA, querying, summarizing, visualizing and reporting findings.
  • Expert SQL skills and demonstrated ability to write efficient queries.
  • 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 amount for this role is targeted at $115,000-$137,000/yr in Denver, Chicago, and Atlanta, $125,000-$149,000/year in Los Angeles and Seattle, and $138,000-$164,000/yr for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. 

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. 

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you require assistance in filling out a Gusto job application, please reach out to candidate-accommodations@gusto.com.

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Tags: Business Intelligence Data analysis Data governance Data quality Data visualization Engineering Finance SQL

Perks/benefits: Health care Insurance

Region: North America
Country: United States
Job stats:  7  4  0
Category: Analyst Jobs

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