OpenHouse.ai

2 Jobs

17 Employees

About the Company

OpenHouse.ai is a technological leader in the homebuilding industry that provides data-driven solutions to empower decision making. Our AI-powered marketing platform tracks customer’s real-time behavioural patterns and utilizes industry data to predict the likelihood of purchase, amenity and location preferences, and desired price range.

Listed Jobs

Company Name: OpenHouse.ai
Job Title: Data & Integration Engineer
Job Description: Job title: Data & Integration Engineer Role Summary: Develop, architect, and maintain data pipelines that ingest, transform, and surface information from APIs, ERPs, CRMs, and data warehouses into production-ready formats. Own end‑to‑end data flow and collaborate with analytics, ML, and product teams to deliver reliable, scalable, and low‑error data solutions for the home‑building industry. Expectations: Learn rapidly in a fast‑paced environment; take ownership of data integrity and pipeline performance; communicate findings and resolve anomalies with stakeholders; contribute to both pre‑ and post‑commercial product releases. Key Responsibilities: - Investigate new data sources and design integrations for new clients. - Build and deploy scalable ETL/ELT pipelines using Python. - Expand and optimize integration capabilities with existing ERP, CRM, and cloud data warehouse systems. - Architect reusable integration patterns to accelerate onboarding and reduce errors. - Migrate and tune existing client pipelines, adjusting machine‑learning parameters as needed. - Optimize ML models with fresh data, ensuring robust performance. - Detect, document, and correct data anomalies in collaboration with engagement and solution engineering teams. Required Skills: - Proficient Python programming (experience with PyTorch and/or TensorFlow an asset). - Strong SQL knowledge and analytic function usage. - Familiarity with data lakes, warehouses, and legacy ERP databases. - Understanding of statistical distributions, histogram analysis, and feature intuition. - Experience with Git for collaborative coding. - Ability to prototype quickly in Jupyter or similar notebooks. - Interest or experience in ML pipelines and quantitative AI model training/tuning. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience (no minimum work experience required).

Calgary, Canada

Hybrid

13-01-2026

Company Name: OpenHouse.ai
Job Title: Strategic Business Analyst (New Graduate - Top Academic Talent)
Job Description: **Job Title:** Strategic Business Analyst – Entry Level **Role Summary:** Provide data‑driven strategy insights to C‑level executives, translating raw performance metrics into concise, board‑ready decks that identify growth levers and optimization opportunities. Works closely with the revenue team to prioritize metrics, evaluate marketing/sales effectiveness, and deliver structured strategic recommendations. **Expectations:** - **First 30 days:** Master internal trend reports; explain the logic behind each chart. - **First 60 days:** Produce end‑to‑end analysis decks; justify metric selections and forecast impacts. - **First 90 days:** Standardize storytelling templates; become the go‑to partner for VP of Revenue on all client presentations. **Key Responsibilities:** - Select and correlate growth‑driving metrics from the available data library. - Assess marketing and sales funnel efficiency versus effectiveness; identify trade‑offs. - Build clean, single‑message slides in Google Slides and supporting models in Google Sheets/Excel. - Distinguish signal from noise; use the Pyramid Principle or Problem‑Evidence‑Analysis‑Solution framework. - Draft executive summaries, decision memos, or strategy briefs as required. - Collaborate with the data team to understand raw outputs and translate them into actionable insights. **Required Skills:** - Strong quantitative foundation: variance, distributions, basic financial modeling. - Expertise in Google Sheets/Excel for logical, auditable models. - Proficient at building visually clear, evidence‑backed decks in Google Slides. - Structured communication: Situation → Complication → Resolution mindset. - Ability to critique metrics for material impact, not just surface changes. - Familiarity with the Pyramid Principle (or similar structured storytelling). - Rapid learning, first‑principles thinking, and executive‑level judgment. **Required Education & Certifications:** - Recent graduate or imminently graduating from a top‑tier university. - High GPA. - Degree in a rigorous quantitative or analytical discipline (Applied Economics, Statistics, Finance, Business Analytics, Engineering, Mathematics, etc.). **Bonus (not required):** - Internship or coursework in management consulting, strategy, or financial audit. - Experience drafting executive briefs or decision memos.