Senior Analytics Engineer

Objective

To turn raw data into meaningful insights for business stakeholders and build a unified, scalable analytical platform.

Key Responsibilities

• Architecting Foundation: Design and build transformation layers to serve as a single source of truth; partner closely with data engineers.
• Business Insights: Own end-to-end delivery of insights, from gathering requirements to modeling and creating dashboards.
• Stakeholder Collaboration: Act as a technical partner to business users, translating functional needs into automated solutions.
• Data Storytelling: Develop artifacts and data narratives to influence strategy across technical and non-technical audiences.
• Scaling & Automation: Implement core business metrics that automate operational reporting and enable self-serve capabilities.
• Engineering Rigor: Apply software best practices (versioning, modularity, testing) to data models.

Experience

4+ years of industry experience in technical engineering or analytics.

Technical Skills

• Advanced SQL & Data Modeling: Ability to build production-grade models.
• Cloud Environment: Experience with Databricks or Snowflake (Cloud Lakehouse).
• Visualization: Full-stack expertise in Tableau, Power BI, or Looker.
• Soft Skills: Business-centric mindset, ownership, accountability, and a collaborative spirit.

Nice to Have (Bonus)

• Experience with customer acquisition or sales funnel analytics.
• Industry experience in Real Estate or other market-driven domains.