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Role Team and Company Understanding Questions

Covers researching and demonstrating practical knowledge of the company the hiring team and the specific role. Candidates should be able to describe team mission and composition reporting relationships typical day to day responsibilities success metrics and short term priorities. This topic includes preparing substantive questions about onboarding expectations the first ninety days common technical and product challenges and how the role contributes to company objectives. Interviewers evaluate preparedness the candidate's ability to map their skills to concrete team needs and to propose realistic early contributions and measurable goals.

MediumTechnical
0 practiced
You inherit a backlog of 30 analytics requests spanning sales, marketing, and product. Describe a prioritization framework you would use to triage and schedule these requests for the next quarter. Include criteria, scoring, stakeholders to involve, and how you would communicate trade-offs and timelines.
HardTechnical
0 practiced
You're the first data analyst embedded on a growth team with pressure for rapid results. Propose a realistic 6-month roadmap to increase analytics maturity including instrumentation fixes, a plan for self-service dashboards, analytics guidelines, and criteria for hiring additional analysts. Provide milestones and measurable success indicators for each phase.
HardTechnical
0 practiced
Propose a 'definition of done' for analytics projects to avoid scope creep and ensure reproducibility. Your answer should include required deliverables (queries, documentation, tests), code review or peer review steps, deployment/operationalization criteria, and examples of how to mark a project as complete.
MediumTechnical
0 practiced
Given the company-level OKR to 'Increase ARPU by 10% this year', propose three analytics projects a Data Analyst could deliver in the next quarter that directly support this OKR. For each project, state the hypothesis, required data sources, success metrics, estimated effort, and expected timeline.
EasyTechnical
0 practiced
When meeting product managers early in onboarding, what five questions would you ask to understand the most important analytics needs? For each question, explain how you would translate the product answer into concrete data tasks or deliverables.

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