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Analytics Engineering Manager, Growth and Expansion

 


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

About the Team

The Analytics Engineering team at Gusto is a central hub for data, analytics, and operational excellence. We ensure the availability, reliability, and quality of our data assets.

As an Analytics Engineering Manager, you'll lead a team responsible for defining and managing critical datasets. These datasets are essential for data practitioners to develop metrics, conduct analyses, and drive data-informed decision-making at Gusto.

You'll collaborate closely with an established team of experienced leaders in Engineering, Product, Design, Data Science, Revenue, Marketing, and Sales.

About the Role
Gusto is currently seeking an experienced Analytics Engineering Manager to join our team!  As an Analytics Engineering Manager, you'll play a crucial role in driving our Growth and Expansion efforts by developing and maintaining the foundational data infrastructure. You'll collaborate with stakeholders and data professionals to build and maintain data products that empower users across the organization to explore and answer data-related questions.

Your responsibilities will include managing end-to-end data pipelines, focusing on transformation, design, documentation, and user-friendliness. Ultimately, your work will factor into ensuring our customers maximize the value from our product offerings.

Here’s what we’re looking for:

  • 10+ years of working with complex datasets from various sources, including product, marketing, sales, finance, operations, and customer acquisition.
  • 4+ years of managing Analytics Engineering teams or equivalent roles.
  • Ability to excel in both people management and individual contributor roles.
  • Significant experience in data modeling and architecture within production environments, particularly using Redshift, DataBricks, or Snowflake.
  • Expertise in designing, building, and deploying production data pipelines and ETLs using Python, with a preference for Airflow and dbt.
  • Extensive knowledge of relational databases and familiarity with modern data stack technologies.
  • Proven ability to ensure data integrity and accuracy through regular audits, issue resolution, and implementation of data governance best practices.
  • Experience in business intelligence and data visualization tools, such as Tableau.
  • Exceptional SQL skills are critical.

 

Here’s what you’ll do day-to-day:

  • Design and implement Gusto's production data warehouse, defining a set of schemas to enhance data analysis for Growth and Expansion. Develop use-case-specific data tables by skillfully combining and engineering essential elements across diverse data domains.
  • Construct robust data ingestion pipelines from both internal and external sources, including APIs, ensuring structural integrity, adherence to data quality standards, and establishing traceability from the consumption layer back to the raw data layer.
  • Empower users throughout the organization to independently explore and answer data-related queries using well-organized and intuitive datasets.
  • Lead Quality Assurance and Data Quality initiatives to streamline development timelines, minimize errors, and uphold the reliability of analytical products. Implement monitoring mechanisms for crucial tables.
  • Optimize data warehousing processes by refining naming conventions, enhancing data modeling, and implementing best practices for data quality testing.
  • Offer recommendations to enhance the reliability, user-friendliness, and performance of the Data Team's technical infrastructure.
  • Share knowledge, provide mentorship, and ensure your team adheres to best practices.

 

Our cash compensation amount for this role is targeted at $166,000-$206,000/year in Denver, Chicago, Miami, Austin and Atlanta, $181,000-$223,000/year in Los Angeles, and $195,000- $241,000/year for San Francisco, Seattle 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. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Average salary estimate

$203500 / YEARLY (est.)
min
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$166000K
$241000K

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What You Should Know About Analytics Engineering Manager, Growth and Expansion, Gusto, Inc.

Are you an experienced analytics professional looking to take the next step in your career? Gusto, a modern online people platform based in cities like Denver, San Francisco, and New York, is on the lookout for a dynamic Analytics Engineering Manager, Growth and Expansion. In this role, you will lead a talented team focused on developing and managing the foundational data infrastructure that fuels Gusto's data-driven decisions. With over ten years of working with complex datasets and four years in team management, you will collaborate with experts across Engineering, Product, and Marketing to ensure our data assets are robust and reliable. Your main tasks will include designing data pipelines, optimizing data warehousing processes, and leading initiatives around data quality. This is an exceptional opportunity to ensure our customers receive immense value from Gusto's offerings by crafting intuitive datasets that enable independent data exploration across the organization. If you have a passion for analytics and a love for empowering teams with accurate data, we want you on board to help shape Gusto’s future!

Frequently Asked Questions (FAQs) for Analytics Engineering Manager, Growth and Expansion Role at Gusto, Inc.
What are the key responsibilities of the Analytics Engineering Manager at Gusto?

The Analytics Engineering Manager at Gusto is responsible for leading a team that manages critical datasets necessary for informed decision-making. This includes designing and implementing the production data warehouse, constructing data ingestion pipelines, and ensuring the quality and accessibility of data across the organization.

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What qualifications do I need to apply for the Analytics Engineering Manager position at Gusto?

To qualify for the Analytics Engineering Manager role at Gusto, candidates should have over 10 years of experience working with complex datasets and at least 4 years in a management role. Proficiency in data modeling, architecture, and using technologies like Redshift, DataBricks, or Snowflake is also essential.

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How does Gusto support its teams in achieving data-informed decision-making?

Gusto supports its teams by providing access to well-defined, reliable datasets and fostering collaboration among departments like Engineering, Product, and Marketing. This collaborative environment ensures that data practitioners have the resources they need to drive data-informed decisions effectively.

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What is the expected salary range for the Analytics Engineering Manager at Gusto?

The salary range for the Analytics Engineering Manager at Gusto is targeted between $166,000 and $206,000 per year in cities such as Denver and Chicago, while it can go up to $241,000 per year in locations like San Francisco and New York, depending on experience and expertise.

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What technologies will I work with as an Analytics Engineering Manager at Gusto?

In this role, you will work with technologies such as Python, Airflow, dbt, and SQL while managing data pipelines and ensuring data governance best practices. Familiarity with business intelligence tools like Tableau will also be beneficial for effectively visualizing data.

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What does Gusto's culture and work environment look like for the Analytics Engineering Manager?

Gusto prides itself on a collaborative and inclusive culture. As an Analytics Engineering Manager, you will be part of an empowering environment that encourages creativity, knowledge-sharing, and professional growth, all while fostering community and supporting small businesses.

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Are there remote work options for the Analytics Engineering Manager role at Gusto?

Yes, while Gusto has physical office spaces in Denver, San Francisco, and New York, remote work is possible when approved. However, a reliable and consistent internet connection will be necessary for those working from locations outside these offices.

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Common Interview Questions for Analytics Engineering Manager, Growth and Expansion
What experience do you have with data modeling and architecture?

When discussing your experience with data modeling and architecture, focus on specific projects where you designed data models, the tools you used, and how your work impacted the overall data strategy. Highlight your proficiency with technologies such as Redshift or Snowflake.

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Can you describe a challenging dataset you worked with and how you improved its quality?

When answering this question, detail a key dataset you managed, the challenges you faced with its accuracy or accessibility, and the approach you took to rectify these issues. Share any methodologies or tools that helped significantly improve data quality.

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How do you prioritize tasks when managing multiple projects?

In response to this question, discuss your approach to prioritization, such as assessing project importance, deadlines, team capacity, and stakeholder needs. Provide specific examples of how you successfully balanced multiple projects in the past.

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What is your approach to mentoring team members?

Describe your mentoring philosophy, including how you identify team members’ strengths and areas for improvement. Share examples of how you’ve provided support and guidance in previous roles to help others grow professionally.

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How do you ensure data integrity across pipelines?

To address this, explain the processes you implement for data validation, including automated checks, regular audits, and the importance of maintaining detailed documentation. Discuss tools or technologies you've employed to uphold data integrity.

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Can you explain the importance of ETL processes in analytics?

Outline the significance of ETL (Extract, Transform, Load) in the context of analytics, mentioning how it impacts data availability, shape for analysis, and user understanding. Share any experiences where you optimized ETL processes for better outcomes.

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What techniques do you use for ensuring data security and governance?

Discuss the key principles of data security and governance you follow, including user access controls, auditing processes, and compliance policies. Provide examples of how you’ve implemented these in your previous roles.

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Describe a time when you had to present data insights to non-technical stakeholders.

Share a story where you successfully communicated complex data insights to non-technical stakeholders. Emphasize your approach to simplifying technical jargon and how you ensured your information was clear and actionable.

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What role do you believe an analytics team plays in a company’s growth?

Elaborate on the critical role of analytics in shaping business strategies. Highlight how data informs decision-making, enhances efficiency, and contributes to customer satisfaction, thereby supporting the company’s growth objectives.

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How do you stay current with developments in data technologies?

Explain your methods for keeping up with industry trends, such as attending webinars, participating in workshops, or following influential thought leaders. Discuss how you’ve applied new knowledge to benefit your previous teams.

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Gusto was founded in 2011. This company provides payroll processing and employee benefits services. Their headquarters are located in San Francisco, California.

117 jobs
MATCH
VIEW MATCH
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$166,000/yr - $241,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 26, 2024

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