Back
Tier-1 brand, generalist Data Analyst title, mid-level experience range, metro location, and common SQL/Python requirements.
Core data analysis, SQL, Python, and BI skills are highly transferable across industries.
Explicit 2+ years requirement plus mandatory SQL/Python and analytics domain skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Deliver high-quality analytics, reporting, and insights to support decision-making for the Properties Data & Insights team.
Build and maintain dashboards, reports, and visualizations to monitor business performance and identify trends.
Support experimental design and measurement including A/B tests and pilots, and contribute to scalable analytical products and improved data processes.
Bachelor’s degree in Computer Science, Information Management, Statistics, Mathematics, Economics, or related analytical field.
2+ years of experience as a data analyst or business data analyst.
Proficiency in SQL and Python or similar query languages; exposure to big data tools like Spark or Hive.
Experience with reporting and visualization tools such as Power BI, Tableau, or Looker.
Experience working closely with product managers and cross-functional business partners to develop analytical solutions.
Strong technical skills combined with the ability to communicate findings effectively through clear and compelling dashboards.
Comfortable working in a dynamic environment and contributing to scalable analytical products and data process improvements.