Description

You will own the end-to-end delivery of analytical solutions, transforming raw data into trusted insights that drive strategic decisions.

Responsibilities

• Architect and maintain analytics transformation layers to serve as a single source of truth for downstream reporting and data science.
• Own the complete analytics lifecycle, from requirements gathering and data modeling to scalable dashboards and self-service solutions.
• Partner with business stakeholders to translate functional needs into automated, scalable data solutions and analytical narratives.
• Design standardized, reusable business metrics and data models that support automated reporting and deep-dive self-service analysis.
• Apply software engineering best practices, including version control, modular design, testing, documentation, and performance optimization.

Required Skills

• 4+ years of industry experience in analytics engineering, data engineering, or advanced analytics.
• Expert-level SQL skills with production-grade data modeling experience in cloud data lakehouse environments.
• Hands-on experience with Snowflake or Databricks for building scalable analytics layers.
• Proven ability to design scalable analytics layers supporting BI, operational reporting, and advanced analysis.
• Experience developing dashboards and self-service analytics using Tableau, Power BI, or Looker.
• Strong business acumen to translate ambiguous requirements into impactful analytics solutions.
• Self-starter with strong accountability and the ability to deliver high-quality outcomes independently.
• Excellent communication skills with a team-oriented mindset.

Preferred Skills

• Experience with customer acquisition, sales funnel, or revenue analytics.
• Prior exposure to the real estate industry or other fast-moving, market-driven domains.

Key Skills

Education

Any Graduate