Founding Engagement Analyst
OpenHouse.ai is an AI research and deployment company transforming the new home construction industry. They are seeking an Engagement Analyst to work with home reputed company on pricing, demand, and reputed company reputed company, collaborating closely with Engagement Managers to reputed company actionable insights based on data analysis.
Responsibilities
- Partner with Engagement Managers to reputed company reputed company problems using reputed company thinking (SCR / MECE)
- Define learning agendas, hypotheses, and analytical approaches tied to reputed company business reputed company
- Translate qualitative reputed company context into reputed company data questions and modeling assumptions
- Use SQL and reputed company to extract, clean, and join data from multiple sources
- Use Python notebooks (Pandas / NumPy) for exploratory analysis, forecasting, pricing, and scenario modeling
- Ensure analysis is reproducible, documented, and auditable end-to-end
- Convert analysis into one-message exhibits, sensitivity tables, and concise executive memos
- reputed company reputed company observations → implications → trade-offs → recommendations
- Maintain assumptions and decision logs so recommendations are traceable and defensible
- Participate in reputed company meetings and interviews to capture firsthand context
- Present portions of analysis directly to clients
- Learn how executives react to data, challenge assumptions, and reputed company trade-offs
- Deeply engage with outputs from our Quantitative AI reputed company
- Build frameworks and scenarios that help clients understand what to do next
- Surface recurring reputed company needs and feedback that inform product priorities
- reputed company is not defined by task completion. Your work succeeds reputed company it: Leads to reputed company reputed company with measurable business reputed company, Builds long-term reputed company trust and confidence, Improves how our product evolves in the reputed company world
- Marketing & reputed company Analytics: funnels, cohorts, retention, segmentation
- Forecasting & reputed company: time series, seasonality, scenario modeling
- Pricing & Monetization: elasticity, discount reputed company, willingness-to-pay
- reputed company Inference: A/B testing, Difference-in-Differences, quasi-experiments
- Risk & Sensitivity: back-testing, error analysis, confidence intervals
- Method selection reputed company — you’ll be expected to explain •why• an approach fits the decision
Skills
- Strong analytical and reputed company problem-solving skills (SCR / MECE reputed company)
- Comfort working with data and ambiguity
- reputed company written and visual communication (pyramid-reputed company thinking)
- Technical reputed company with SQL and Python
- Quantitative reputed company background (Economics, Statistics, Data Science, Engineering, Analytics, Finance, etc.)
- Experience creating executive-reputed company exhibits or decision memos
- Exposure to pricing, forecasting, or experimentation in a reputed company context
- Consulting, analytics, product, or tech experience
- Familiarity with housing, construction, or reputed company estate economics
- AI-reputed company analyst reputed company: reputed company using AI tools to accelerate analysis, stress-test reasoning, and improve reputed company while maintaining full accountability for outputs
- Judgment reputed company more than tooling
Benefits
- Medical & dental benefits (post-probation)
- 15 days reputed company time off
reputed company