Senior Consultant / Manager Analytics Consulting - Real Estate

Tiger Analytics Inc.

11d

About The Position

Tiger Analytics is seeking a business-focused analytics consultant to connect strategic decision-making with advanced technical execution in real estate. The role partners with stakeholders to frame business challenges, formulate analytical approaches, and drive data-informed strategies. The successful candidate combines strategy consulting, enterprise analytics, client delivery, and hands-on AI prototyping capabilities. The consultant will align business strategy with analytics and performance measures, translate challenges into technical specifications and data science roadmaps, and coordinate delivery across technical teams and client stakeholders. The role also involves analyzing property and portfolio data, presenting executive recommendations, and rapidly prototyping solutions with Generative AI, agentic AI, and low-code/no-code tools. Tiger Analytics describes itself as a fast-growing AI services firm with a global presence across North America, Latin America, Europe, and India. The position offers an entrepreneurial environment, significant individual responsibility, career development opportunities, and exposure to emerging AI and data-platform technologies.

Requirements

5–10 years of experience in business analytics, strategy consulting, data science consulting, or real estate decision analytics.
A proven track record bridging technical execution, project management, and client delivery.
Hands-on proficiency with leading LLMs and AI platforms for workflow automation and prototyping; OpenAI is preferred.
Strong analytical foundation working with structured and unstructured datasets.
Proficiency with SQL, Python, Excel, and enterprise BI tools such as Power BI or Tableau.
Experience framing hypotheses, solving ambiguous problems, and presenting executive-ready recommendations.

Nice To Haves

Understanding of real estate business processes, including property management, asset performance, or valuation.
Familiarity with Dataiku or enterprise analytics platforms.

Responsibilities

Partner with stakeholders to align business strategy with analytics, structured decision frameworks, and performance metrics.
Translate business challenges into technical specifications, data science roadmaps, and actionable projects.
Manage deliverables and drive milestones across technical teams and client stakeholders.
Conduct exploratory analysis on property and portfolio data and translate complex insights into executive recommendations.
Rapidly prototype solutions and functional proof-of-concepts using Generative AI, agentic AI, and low-code/no-code tools.
Orchestrate cross-functional technical teams, including data science, machine learning, and software engineering, to deliver solutions.