intuitive-machines

Intuit (Mountain View) Data Analyst — Behavioral Interview Template

Note: Your company description and location match Intuit Inc. (Mountain View, CA). This template reflects Intuit’s culture and interview style. If you intended Intuitive Machines (Houston aerospace), say so and I’ll tailor it accordingly. What this interview covers - Values alignment: Expect deep dives on Intuit’s five values—Integrity Without Compromise, Courage, Customer Obsession, Stronger Together, and We Care & Give Back—and how you’ve demonstrated them in high‑stakes, data‑driven work. ([intuit.com](https://www.intuit.com/in/great-place-to-work/values/?utm_source=chatgpt.com), [jobs.intuit.com](https://jobs.intuit.com/job/mountain-view/director-product-marketing-workforce/27595/75510685392?utm_source=chatgpt.com)) - Process context: Intuit commonly pairs behavioral evaluation with a craft/case demonstration and interviews with 1–2 assessors plus a cross‑functional partner; fast feedback is typical. This template mirrors that emphasis even when run as a standalone behavioral round. ([intuit.com](https://www.intuit.com/careers/hiring-process/?utm_source=chatgpt.com)) - Customer impact focus: Stories should show how your analyses improved outcomes for customers of products like QuickBooks, TurboTax, Credit Karma, or ProConnect—especially how you fell in love with customer problems, balanced speed with rigor, and shipped measurable results. ([investors.intuit.com](https://investors.intuit.com/sec-filings/all-sec-filings/content/0000896878-24-000039/intu-20240731.htm/fy24q4-ex3201.htm?utm_source=chatgpt.com)) Suggested 45‑minute flow (behavioral only) 1) 3 min — Rapport and role context: What business area your analyses supported; key metrics owned. 2) 10 min — Values deep‑dive prompts (pick 2–3): - Customer Obsession: Tell me about a time you overturned a popular assumption with data and it changed a customer experience metric (e.g., conversion, NPS, retention). What was the measurable lift? ([intuit.com](https://www.intuit.com/in/great-place-to-work/values/?utm_source=chatgpt.com)) - Stronger Together: Describe a cross‑org project where you influenced PMs/engineers/marketers to adopt a data‑informed decision; how did you handle dissent? ([jobs.intuit.com](https://jobs.intuit.com/job/mountain-view/director-product-marketing-workforce/27595/75510685392?utm_source=chatgpt.com)) - Integrity Without Compromise: When did you push back on a launch due to data quality, privacy, or methodological concerns? What standard did you insist on? ([intuit.com](https://www.intuit.com/in/great-place-to-work/values/?utm_source=chatgpt.com)) - Courage: Share an example of bias‑to‑action under ambiguity—what hypothesis did you test first and why? ([intuit.com](https://www.intuit.com/in/great-place-to-work/values/?utm_source=chatgpt.com)) - We Care & Give Back: Example of mentoring, community impact, or volunteering that improved team health or community outcomes. ([intuit.com](https://www.intuit.com/blog/social-responsibility/making-an-impact-together-turning-employee-passion-into-community-impact/?utm_source=chatgpt.com)) 3) 10 min — Stakeholder storytelling: Walk us through how you framed a complex insight for non‑technical leaders; what trade‑offs they faced; the decision taken; and the downstream KPI impact. 4) 8 min — Data ethics and compliance: Handling PII/financial data (e.g., consent, access control, anonymization), auditability, and how you balanced speed vs. safeguards in tax/finance contexts. 5) 9 min — Execution under ambiguity: Setting success metrics, experiment design (or quasi‑experimental approach), defining MLP/MLV dashboards, and shipping an insight to production use. 5) 5 min — Candidate Q&A: Encourage questions on working with assessors, case/craft expectations, and how feedback is delivered (often within 24 hours). ([intuit.com](https://www.intuit.com/careers/hiring-process/?utm_source=chatgpt.com)) Evaluation rubric (what interviewers listen for) - Customer empathy and outcomes: Clear problem framing around customer pain; specific KPI moves with numbers and timeframes. ([intuit.com](https://www.intuit.com/in/great-place-to-work/values/?utm_source=chatgpt.com)) - Collaboration/influence: How you aligned diverse partners and handled conflict while maintaining velocity. ([jobs.intuit.com](https://jobs.intuit.com/job/mountain-view/director-product-marketing-workforce/27595/75510685392?utm_source=chatgpt.com)) - Judgment/ownership: Willingness to block/adjust decisions when data quality, privacy, or ethics are at risk; ability to choose a sensible minimum‑viable analysis under time pressure. ([intuit.com](https://www.intuit.com/in/great-place-to-work/values/?utm_source=chatgpt.com)) - Communication: Narrative clarity, visuals you would use, and tailoring depth to execs vs. ICs. - Growth mindset: Reflection on misses and what you changed next time. Sample question bank (behavioral) - Tell me about a time a dashboard or metric led to the wrong conclusion—how did you detect it and what changed after? What was the cost of the initial mistake? - Describe a time you used imperfect data to make a timely decision. What trade‑offs did you make and what did you do to de‑risk it? - Walk through a case where you persuaded a skeptical VP to adopt an insight that contradicted their intuition—what evidence and storytelling worked? - How have you enforced data privacy/compliance in analytics work without slowing the business unreasonably? - Give an example of volunteering, mentoring, or community engagement that made your team stronger or helped customers prosper. ([intuit.com](https://www.intuit.com/blog/social-responsibility/making-an-impact-together-turning-employee-passion-into-community-impact/?utm_source=chatgpt.com)) Where this fits in Intuit’s process - Often occurs alongside/after a craft or case demonstration and interviews with assessors and cross‑functional partners; expect explicit values probing and structured STAR‑style prompts. Some candidates also encounter a dedicated values interview late in the process. ([intuit.com](https://www.intuit.com/careers/hiring-process/?utm_source=chatgpt.com), [reddit.com](https://www.reddit.com/r/csMajors/comments/za6jak?utm_source=chatgpt.com))

engineering

45 minutes

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About This Interview

Interview Type

BEHAVIOURAL

Difficulty Level

3/5

Interview Tips

• Research the company thoroughly

• Practice common questions

• Prepare your STAR method responses

• Dress appropriately for the role