The Role
The Senior Associate will design data workflows, optimize AWS data pipelines, and collaborate across teams to innovate analytics tools in real estate.
Summary Generated by Built In
About Faropoint:Meaningful Relationships. Ownership. Tenacity. Curiosity.Established in 2012, Faropoint is a pure play RE fund manager focusing on the last mile industrial sector. Having acquired more than 500 warehouses to date, it is the most active aggregator of warehouses in the US in the past five years. Our platform is built to harness the sector’s fragmentation, operating through 7 regional offices with 120+ employees in vertically integrated teams enhanced by proprietary AI-driven tools, while benefiting from compelling fundamentals like constrained supply growth, reshoring, and e-commerce tailwinds. Senior Associate – Data & IntelligenceWe are seeking an exceptional Senior Associate to join our Data & Intelligence team. This role sits at the intersection of real estate, data engineering, and business intelligence—driving innovation, insights, and automation through the intelligent use of data, cloud infrastructure, and AI.The ideal candidate is both analytically rigorous and creatively experimental—someone who can connect domain knowledge with modern data infrastructure and automation frameworks to unlock new insights and efficiencies across the investment lifecycle.
Key Responsibilities
Key Responsibilities
- Design and build data workflows in Power BI, Power Automate, and Python, creating dynamic dashboards and automation pipelines that scale with business needs.
- Architect and optimize data pipelines on AWS, including integrations with Athena, Lambda, and S3.
- Collaborate cross-functionally with software engineers, data scientists, and investment professionals to develop innovative tools that improve decision quality.
- Prototype and implement new automations, using AI agents, RPA tools, and modern no-code/low-code frameworks to reduce manual work and accelerate insight generation.
- Champion a culture of innovation—staying ahead of emerging technologies and identifying new applications for data and AI within real estate.
- 3–7 years of experience in real estate or finance analytics or related quantitative roles.
- Proficiency in Power BI, Power Automate, and Python; familiarity with SQL and data modeling best practices.
- Experience or strong familiarity with cloud infrastructure (AWS preferred) and data engineering concepts (ETL, API integrations, workflow orchestration).
- Proven ability to synthesize complex data into clear narratives and actionable recommendations.
- Demonstrated curiosity and creative problem-solving—especially in applying AI and automation to business processes.
- Strong communication and collaboration skills with both technical and non-technical stakeholders.
- Bachelor’s or Master’s degree in Real Estate, Math, Economics, Data Science, Computer Science, or a related analytical field.
- Familiarity with large language model (LLM) tools, prompt design, and AI-assisted research or automation.
- Experience developing agentic workflows—orchestrating modular AI systems using tools such as n8n, Claude Code, or similar agentic coding platforms.
- Track record of developing tools, dashboards, or frameworks that improved analytics capabilities or investment decision-making.
- Comfort operating at the frontier of AI adoption, automation design, and cross-functional collaboration.
What We Offer:
- Competitive base salary in the $100,000-$130,000 range, commensurate with experience, plus discretionary bonus
- Comprehensive benefits package including health, dental, and vision insurance
- 401(k) plan with company matching
- Collaborative work environment in our Hoboken, NJ headquarters
- Opportunity to work closely with senior leadership in a growing organization
- Exposure to institutional real estate investment operations
Top Skills
Athena
AWS
Lambda
Power Automate
Power BI
Python
S3
SQL
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The Company
What We Do
Faropoint is a data-driven industrial real estate asset manager that targets inefficiencies in the marketplace to achieve superior risk-adjusted returns.
