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Tier-1 brand, metro location, mid-level generalist data role, and broad skillset increase applicant competition.
Core analytics, SQL, and visualization skills are highly transferable across industries.
Explicit years plus mandatory SQL, Python, BI, statistics, and data engineering skills create strict filters.
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Own and maintain a key Vacation Rental (VR) KPI and its stakeholder-facing dashboard used by senior leadership to track performance.
Lead end-to-end analytics projects including dataset creation, analysis, visualization, and delivering actionable insights to improve VR supply, quality, and conversion.
Automate reports, ensure data quality, and integrate AI/LLM tools to increase efficiency and scale insight delivery.
2–3 years of experience in analytics or data science with relevant degree, or 4+ years directly relevant industry experience.
Advanced SQL skills including joins, window functions, and performance tuning.
Proficiency in Python or R for data wrangling, analysis, automation, and building repeatable datasets.
Experience with visualization tools like Tableau or similar BI tools for dashboard creation and storytelling.
Experienced in managing analytics projects end-to-end with ownership of key performance indicators and dashboards.
Strong business acumen with ability to translate complex data into clear, simple insights for senior and non-technical stakeholders.
Familiar with data engineering principles, applied statistics, experimentation (A/B testing, causal impact), and use of AI/LLM tools to automate workflows and enhance impact.