Cultural Fit and Working Style Questions

No agreed-upon metrics or KPIs (every team member defines success differently)
Impact: Without clear metrics I spend time building reports no one uses, and recommendations can’t be tied to measurable outcomes — slowest path to business impact.
Mitigation: I’d propose a short metrics workshop with PM/ops/stakeholders to align on 3–5 north-star and supporting KPIs, document definitions in a shared metrics catalog, and deliver a simple dashboard that tracks those KPIs to create immediate value.

Data is hard to access or poorly instrumented (manual extracts, inconsistent schemas, missing event tracking)
Impact: Analysis becomes slow, error-prone, and non-reproducible; exploratory work stalls and automation is impossible.
Mitigation: I’d map current data sources, prioritize the highest-impact gaps, and propose incremental fixes: add missing events, standardize schemas, and set up a small ETL/automation sprint so future analyses are faster and reliable.

Decisions are regularly made by instincts or politics, not evidence (stakeholders ignore reports)
Impact: Insights don’t influence outcomes; analytics is seen as a reporting function rather than strategic partner, reducing morale and ROI.
Mitigation: I’d pair analysis with clear, action-oriented recommendations and A/B test or pilot proposals where possible; also offer to present findings in stakeholder decision meetings and tie recommendations to business outcomes to rebuild trust in data-driven decisions.