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Director of Data & Analytics ATX OR NYC View

Job in New York, New York County, New York, 10261, USA
Listing for: Etude Capital LLC
Full Time, Per diem position
Listed on 2026-10-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Management
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below
Position: Director of Data & Analytics ATX OR NYC View role
Location: New York

About the business

Etude operates in insurance, commercial real estate, and industrials. Our insurance business covers more than 5,000 properties with billions of dollars in insured value. Our real estate business owns approximately $1B of commercial property alongside the Kinder Family Office. Our industrial business is developing a multibillion-dollar, 40-acre steelworks to secure the domestic supply chain for electrical infrastructure.

About the team

We are roughly a 100-person team. We hire high-agency people and give them autonomy, responsibility, and diverse problems to work on. We operate with the intensity of a small company where every person's work is visible and believe responsiveness is a form of respect. If you're looking for a place to sharpen your craft alongside people who take their work seriously, you'll fit right in.

Location: New York City or Austin, TX - (Hybrid)

Position Overview

We are seeking a highly strategic, hands-on Director of Data & Analytics to lead all analytics initiatives across the organization. This leader will oversee the full analytics function—data management, collection, insights, reporting, and advanced strategic planning—spanning both our portfolio of real estate investments and insurance operations.

This leader must be able to roll up their sleeves, work autonomously, move fast, and drive measurable impact without requiring extensive support or infrastructure. They will set the vision for analytics and ensure the company leverages data to make intelligent, high-velocity decisions.

Key Responsibilities:

Analytics Strategy and Leadership
  • Lead the analytics strategy, setting the direction for data collection, management, analysis, and insight generation across insurance and investment management operations.

  • Oversee and develop a growing analytics function, ensuring high-quality reporting, modeling, and data practices.

  • Translate complex data into actionable insights that inform executive decision-making, operational improvements, and capital allocation.

  • Drive automation and analytics tooling, identifying opportunities to modernize systems and improve velocity of insight generation.

  • Mentor and build a high-performing analytics team while still being willing to execute hands-on work when needed.

Data Collection & Governance
  • Design and execute data collection frameworks, ensuring inputs are accurate, timely, and consistent across business units.

  • Build and operate analytics workflows personally when needed, including hands-on data analysis, dashboard creation, modeling, and KPI development.

  • Establish data governance standards, ensuring data quality, consistency, and compliance across the enterprise.

Cross-Functional Partnership
  • Partner with cross-functional executives (Finance, Operations, Product, and Technology) to embed analytics rigor throughout key initiatives.

  • Own analytics across a portfolio of investments, coordinating data gathering and reporting across our insurance and investment business to drive visibility and performance management.

  • Develop reporting platforms that support underwriting optimization, claims performance, distribution insights, financial forecasting, and operational measurement.

Minimum Qualifications
  • 5+ years of experience in a leadership capacity, managing teams/direct reports.

  • 10+ years of experience in analytics, data strategy, business intelligence, or a related field.

  • Proven experience leading company-wide analytics programs, preferably in a fast-moving start-up environment.

  • Demonstrated ability to operate both strategically and tactically—comfortable working autonomously and rolling up sleeves to execute.

  • Strong background in data operations, statistical analysis, dashboarding, and data governance.

  • Experience working with or supporting…

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