Description

Key Responsibilities

• Own analytical workstreams end-to-end — synthesize input from users, business stakeholders, and leadership into prioritized questions and metrics.
• Build, maintain, and refine dashboards, reports, and self-service analytics using clean, well-documented SQL.
• Drive data discovery alongside Product and UX partners — conduct user research and champion the end-user perspective.
• Collaborate with Engineering and Data Engineering to translate analytical requirements into reliable, queryable data.
• Define and deliver analyses end-to-end — from problem framing through validation, presentation, and impact measurement.
• Represent findings to business leadership with crisp, regular readouts tied to strategic goals.
• Proactively investigate data quality anomalies and resolve issues before they become blockers.

Required Skills

• 3–5+ years of experience in Data Analytics, Business Intelligence, or a related quantitative field.
• Strong SQL skills with hands-on experience querying large, complex datasets.
• Fluency building dashboards and reports in modern BI tools (Power BI, Tableau, Looker, or similar).
• Proficiency using AI tools in an analytical context.
• Experience with commercial real estate data.
• Ability to present and communicate insights to C-suite executives.
• Comfort with data modeling, data quality, and data governance.
• Familiarity with Snowflake, Databricks, or similar data warehousing platforms.
• Proficiency with Microsoft Office (Word, Excel, Outlook, PowerPoint).

Preferred Skills

• Proficiency in Python or R for analysis and automation.
• Bachelor's degree in a quantitative discipline.
• Experience in Commercial Real Estate (nice to have)

Key Skills

Education

Bachelor's degree