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Practising for the listing CX Business Intelligence Analyst. Its requirements are filled in below. When you have an answer you like, paste it with your CV in Career Mirror to see which of the job's skills it shows.

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CX Business Intelligence Analyst
About Gusto

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy .

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto's Customer Experience team is changing how we serve small businesses: new service models, a telephony platform migration, and the data infrastructure to support both. We are hiring a Business Intelligence Analyst to own the data layer that makes this work.

You will work directly with CX leaders to identify and scope priorities, own the foundation of pipelines, data models, and dashboards that make CX data trustworthy, and use that foundation to answer causal questions about what actually moves customer outcomes. The strongest candidates pair real coding and statistical depth with the judgment to know which question is worth answering.

About the Team:

CX Data and Insights is the analytical backbone of Gusto's Customer Experience organization. We define the metrics CX leaders run the business on, and we produce the analysis that shapes operational roadmap decisions.

Here’s what you’ll do day-to-day:

• Lead: Own ambiguous problems, design analysis and measurement frameworks, and introduce policies and practices by which data integrity is monitored and enforced within your domain.

• Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.

• Strategic Partnership: Partner with CX leaders, cross-function data-science teams, tool developers (i.e. Salesforce), and data engineering to align on strategy.

• Analytical Rigor: Apply advanced statistical methods and AI-driven anomaly detection to proactively uncover opportunities, diagnose performance issues, and shape CX strategy, separating signal from noise. Navigate messy, conflicting data sources to establish reliable sources of truth. Use AI to accelerate hypothesis generation, code drafting, cross-source reconciliation, validation, and build agents to automate repetitive tasks.

• Develop and scale reporting: define DBT and Snowflake data pipeline requirements for evolving CX data sources, and build and maintain monitoring systems and streamlit dashboards for day-to-day operation and self-serve insights.

• Independence: Work with minimal guidance to prioritize, create, and deliver data projects, proactively resolving conflicts or misalignment across stakeholders.

• Scale the Craft: Up-level the team’s best practices in data modeling and schema design, expand our toolsets (e.g., Databricks for AI-augmented modeling and anomaly detection) where they accelerate CX outcomes, drive improvements in data quality, rigor, and adoption of better data capabilities, and mentor other data practitioners.

• Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company.

Here’s what we're looking for:

• 3+ years of experience in Data Analytics, Data Engineering, or Data Governance.

• Strong SQL and Python proficiency, capable of querying and analyzing large datasets with ease.

• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake.

• Proven experience building and maintaining robust data reporting pipelines and ETL workflows.

• Demonstrated experience designing or operating governance for AI-assisted analytics outputs. At minimum: validation standards for AI-generated code and metric definitions, drift and source-of-truth audits on dashboards that feed operational decisions, and documented rules for when human review is non-negotiable on performance-adjacent data products. Comfort working inside an organization's AI use policy.

• Clear, direct communication style. You can explain a complex data investigation to a non-technical stakeholder in 1-2 sentences before diving into the details.

• Comfortable working independently, managing competing priorities, and driving projects forward without waiting for perfect requirements.

• Frequent, practical use of AI in analytics workflows with concrete examples (not aspirational interest). You can describe specific ways AI has changed how you scaffold pipelines, write and review code, validate data, or generate documentation, and you know where human verification is non-negotiable.

Our cash compensation amount for this role is $111,160/yr to $138,950/yr in Denver & most major metro locations, and $134,735/yr to $168,419/yr for 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.

At Gusto, we don't use titles the traditional way, as a signal of rank or hierarchy. Instead, our titles describe two things at once — your craft (what you do, e.g. Engineering, Design) and your scope of ownership (what you're accountable for) — which is why you'll see something like "Head of X" instead of a rank word like "Director" that tells you neither. Because of this, the title on this posting may look different from what you'd expect based on the scope and seniority of the role, and from how similar roles are typically titled elsewhere. If you have questions about how this role compares to your current title or level, your recruiter can help translate.

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. This includes non-office days for hybrid employees.

Reliable, consistent presence: We expect regular and predictable attendance, whether you're working in-office, hybrid, or fully remote, so that you stay closely connected to your team, customers, and stakeholders in real time and ensure colleagues and customers receive the timely support and responsiveness they deserve.

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 .

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice .

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Requirements found

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What this posting asks for

Level: Mid level — The posting asks for 3+ years of experience.

Main responsibilities

Lead: Own ambiguous problems, design analysis and measurement frameworks, and introduce policies and practices by which data integrity is monitored and enfor…
Develop and scale reporting: define DBT and Snowflake data pipeline requirements for evolving CX data sources, and build and maintain monitoring systems and …
Scale the Craft: Up-level the team’s best practices in data modeling and schema design, expand our toolsets (e.g., Databricks for AI-augmented modeling and a…

Competencies an interviewer will look for

Technical skill Core
In the posting: “The strongest candidates pair real coding and statistical depth with the judgment to know which question is worth answering.” · “Salesforce), and data engineering to align on strategy.” · “Use AI to accelerate hypothesis generation, code drafting, cross-source reconciliation, validation, and build agents to automate repetitive tasks.”
Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
Problem solving Core
In the posting: “Analytical Rigor: Apply advanced statistical methods and AI-driven anomaly detection to proactively uncover opportunities, diagnose performance issues, and s…” · “Independence: Work with minimal guidance to prioritize, create, and deliver data projects, proactively resolving conflicts or misalignment across stakeholders.” · “You can explain a complex data investigation to a non-technical stakeholder in 1-2 sentences before diving into the details.”
Show it by: Describes a real problem, the options considered and the one chosen; Shows how the cause was found, not just the fix.
Communication Core
In the posting: “Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across…” · “Clear, direct communication style.” · “You can explain a complex data investigation to a non-technical stakeholder in 1-2 sentences before diving into the details.”
Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.
Ownership and accountability Core
In the posting: “We are hiring a Business Intelligence Analyst to own the data layer that makes this work.” · “You will work directly with CX leaders to identify and scope priorities, own the foundation of pipelines, data models, and dashboards that make CX data trust…” · “Comfortable working independently, managing competing priorities, and driving projects forward without waiting for perfect requirements.”
Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.
Customer focus Core
In the posting: “We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers.” · “Gusto's Customer Experience team is changing how we serve small businesses: new service models, a telephony platform migration, and the data infrastructure t…” · “You will work directly with CX leaders to identify and scope priorities, own the foundation of pipelines, data models, and dashboards that make CX data trust…”
Show it by: Puts the customer's need in their own words; Shows a result for the customer, not only for the company.
Planning and organisation Core
In the posting: “You will work directly with CX leaders to identify and scope priorities, own the foundation of pipelines, data models, and dashboards that make CX data trust…” · “CX Data and Insights is the analytical backbone of Gusto's Customer Experience organization.” · “Independence: Work with minimal guidance to prioritize, create, and deliver data projects, proactively resolving conflicts or misalignment across stakeholders.”
Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.
Data and analysis Core
In the posting: “Gusto's Customer Experience team is changing how we serve small businesses: new service models, a telephony platform migration, and the data infrastructure t…” · “We are hiring a Business Intelligence Analyst to own the data layer that makes this work.” · “You will work directly with CX leaders to identify and scope priorities, own the foundation of pipelines, data models, and dashboards that make CX data trust…”
Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
Attention to detail and quality Core
In the posting: “Scale the Craft: Up-level the team’s best practices in data modeling and schema design, expand our toolsets (e.g., Databricks for AI-augmented modeling and a…” · “Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake.” · “At minimum: validation standards for AI-generated code and metric definitions, drift and source-of-truth audits on dashboards that feed operational decisions…”
Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
Stakeholder management Core
In the posting: “Independence: Work with minimal guidance to prioritize, create, and deliver data projects, proactively resolving conflicts or misalignment across stakeholders.” · “Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across…” · “You can explain a complex data investigation to a non-technical stakeholder in 1-2 sentences before diving into the details.”
Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.
Teamwork and collaboration Core
In the posting: “With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the pe…” · “Strategic Partnership: Partner with CX leaders, cross-function data-science teams, tool developers (i.e.”
Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
Leadership and mentoring Supporting
In the posting: “Scale the Craft: Up-level the team’s best practices in data modeling and schema design, expand our toolsets (e.g., Databricks for AI-augmented modeling and a…”
Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
Adaptability and learning Supporting
In the posting: “Lead: Own ambiguous problems, design analysis and measurement frameworks, and introduce policies and practices by which data integrity is monitored and enfor…”
Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted.

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Practice questions

Tell me about yourself. Dedicated step-by-step practice.
If an interviewer asks something improper How to respond to questions about age, family, origin or health.
Built from this posting (8):
Walk me through a piece of work where you used your strongest technical skill. What exactly did you do? From this posting
Tell me about a difficult problem you solved at work. How did you find the cause? From this posting
Tell me about a time you had to explain something complex to someone outside your field. From this posting
Tell me about a task you took from start to finish without anyone asking you to. From this posting
How have you used salesforce in your work? Walk me through one real example. From this posting
Tell me about a problem you solved using sql. From this posting
Tell me about a time you helped someone on your team get better at their work. From this posting
Describe a time your plans changed suddenly. How did you adjust? From this posting
This posting reads as Data analysis: its questions come first.
Tell me about an analysis that changed a decision. Data analysis
How do you check that a query or spreadsheet you built gives the right answer? Data analysis
Describe a new tool or technique you learned to finish a piece of work. Data analysis
Describe a time you found that the data you were given was wrong. Data analysis
A manager asks you for 'the numbers' by tomorrow with no further detail. What do you do? Data analysis
What makes a dashboard useful, and how have you built one? Data analysis
Tell me about a time you explained a statistical result to people without a data background. Data analysis
Sales dropped 15% last month. How would you find out why? Data analysis
How do you keep your pipeline organised?
Walk me through how you would check whether a report's numbers are right.
Describe a time you handled an upset customer or colleague.
Tell me about a time you had several deadlines at once. How did you decide what to do first?
Give an example of a mistake you caught before it caused a problem.
Tell me about a time you taught someone how to do something.
Describe a time you took the lead without being asked.
Tell me about a time you had to explain something complicated in simple terms.
Describe a process you improved.
Do you have any questions for us?
Why do you want to work here?
Why is there a gap in your employment? Difficult question
Why did you leave your last job? Difficult question
Why are you changing careers? Difficult question
What is your greatest weakness? Difficult question
What are your salary expectations? Difficult question
You seem overqualified for this role. Why do you want it? Difficult question
Improper-question practice: How old are you? / Do you have children? / Where are you from originally?
A customer is angry about a delay you did not cause. What do you do?
How do you keep track of many open customer requests?
Tell me about a time you could not give a customer what they wanted.
You find that the inventory count does not match the system. What do you do?
Tell me about a time a shipment or delivery went wrong.
How do you make sure safety rules are followed on a busy shift?
Two managers ask you to book the same room at the same time. What do you do?
How have you used spreadsheets in your work?
Tell me about a time you had to enter or check a lot of data accurately.
Tell me about a sale or agreement you are proud of.
A prospect says your price is too high. How do you respond?
Tell me about a technical problem you solved on your own.
You find a bug right before a release. What do you do?