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Location: France; United Kingdom; Mexico 🧭 About RealAdvisor RealAdvisor is one of the leading digital platforms in the European real estate ecosystem . Founded in Switzerland, we now support 5,000+ real estate agencies and attract 10+ million users per year across Europe. We are scaling fast across multiple markets with a clear mission: help real estate professionals grow through data, transparency and smart technology. At RealAdvisor, we value ownership, autonomy and impact. 💻 Role Overview We’re looking for a Revenue Operations Specialist to help build and scale our revenue engine. You’ll work at the intersection of Sales, Customer Success, and Marketing , ensuring our systems, data, and processes are clear, reliable, and scalable for a 200+ person commercial organization . Your mission: make revenue operations run smoothly, efficiently, and predictably. Requirements 🔰 Key Responsibilities Automation & Systems Build and maintain automated workflows across CRM, marketing, and CS tools Integrate systems like Close, PostHog, BigQuery, and internal databases Reduce manual work through smart automation and better system design Data & Insights Analyze revenue and customer data to support decisions and experiments Identify patterns related to lead performance, conversion, churn, and renewals Partner with Sales, CS, and Product teams to turn insights into action Dashboards & Reporting Build and maintain dashboards for leadership and teams Ensure a single source of truth for key KPIs (pipeline, ARR, conversion, churn) CRM & Process Optimization Own and continuously improve our CRM ( Close ) Improve data quality and workflows across teams and countries 🔎 What We’re Looking For 2–4 years of experience in Revenue Ops, Growth Ops, or data-driven roles Strong SQL skills; Python or TypeScript is a plus Experience with CRMs and automation tools (Close, n8n, Zapier, HubSpot, etc.), data warehouses (BigQuery, PostgreSQL) and analytic tools (Looker Studio, Metabase, Tableau, etc.) Strong analytical and business mindset Comfortable working independently and with leadership Fluent in English (French, Spanish, or Italian are a plus Benefits 🤝🏻 Why Join Us Fully remote role with flexible working hours High-impact role in a company growing 100% YoY Direct influence on how our revenue engine scales across countries Close collaboration with leadership and go-to-market teams Clear path to grow into a Head of Revenue Operations role International, ambitious, and collaborative team culture Apply now and help us scale the future of real estate!

Location: France; Spain; Italy; United Kingdom; Germany; Mexico 🧭 About RealAdvisor RealAdvisor is one of the leading digital platforms in the European real estate ecosystem. Founded in Switzerland, we now support 7,000+ real estate agencies and attract 10+ million users per year across Europe. We are scaling fast across multiple markets with a clear mission: help real estate professionals grow through data, transparency and smart technology. At RealAdvisor, we value ownership, autonomy and impact. Role Overview We are looking for a business‑oriented Data Scientist to join RealAdvisor. You will consolidate and analyze diverse data sources (product, marketing, transactional), build ML models and experiments to drive subscription growth, and translate insights into concrete product and marketing actions. This is a hands‑on, full‑stack role: you will query databases, run experiments, build models, and present clear data stories to stakeholders. Requirements Key responsibilities Consolidate and aggregate data from product, marketing, CRM, and transactional systems into reliable datasets. Perform product analytics to measure feature usage, user journeys, and retention drivers. Design and run experiments (A/B tests, cohort analysis, population and variation control) to validate hypotheses and measure causal impact. Build ML models for revenue optimization, churn prediction, segmentation, and subscription forecasting. Analyze marketing performance to measure acquisition efficiency, LTV, and campaign ROI. Translate analysis into action: propose product changes, growth experiments, and operational KPIs. Report results using concise dashboards, reports, and data storytelling for non‑technical stakeholders. Work cross‑functionally with product, marketing, engineering, and country managers to standardize metrics and training. Maintain data quality: identify polluted data, propose remediation, and implement robust ETL checks. Required skills and experience 3+ years in data science, analytics. Python and SQL skills for data manipulation, modeling, and production prototyping. Experience consolidating diverse data sources and building reliable analytical pipelines. Experiment design and causal inference methods. Practical ML experience (classification, regression, segmentation) and model evaluation. Product analytics tools experience. Ability to build dashboards and present insights clearly (Looker, Tableau, Power BI, or similar). Business mindset: translates technical results into measurable business outcomes. Proactive: takes initiative, owns end‑to‑end delivery, and can work with limited supervision. Nice to have Experience with subscription businesses and monetization models. Familiarity with marketing attribution and LTV modeling. Frontend or backend dev experience to implement tracking or small UI changes. Knowledge of data engineering tools (Airflow, dbt, Spark). Experience working across international markets and multilingual datasets. Benefits Why Join Us Fully remote. Full-time freelance role. Competitive monthly rate.