Remote GTM Analytics Lead | Finance & Data

Luxury Presence; United States; Remote; USD 110,000 - 140,000; Full time

Benefits offered by this job

Base salary 110k-140k USD

Equity

Comprehensive benefits

Job summary

Luxury Presence is building the AI growth platform for real estate, enabling data-driven decisions across Sales, Marketing and Revenue Operations. This role blends data analytics with finance/FP&A to forecast, model efficiency, and steer where to invest in GTM spend.

The ideal candidate moves between SQL queries and financial models, thrives on solving hard problems, and seeks impact on real growth strategies for a leading real estate tech company.

Qualifications

• 4+ years spanning data/analytics and finance or FP&A.
• Experience with go-to-market metrics: pipeline, bookings, ARR, CAC, LTV, payback.
• Expert in SQL and data warehouse querying.
• Advanced Excel and financial modeling, budgeting and forecasting.
• Bachelor's degree in Finance, Accounting, Economics, Statistics, or related quantitative field.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Own GTM planning and reporting across revenue, staffing and resourcing.
• Partner with Sales, CS, Marketing and Analytics to align GTM spend with the financial plan.
• Build and maintain unit economics models: CAC, LTV, payback, and capacity/productivity.
• Query data warehouse to build datasets and validate numbers linking financial and operational data.
• Automate recurring GTM reporting to speed decision-making.

Skills

GTM analytics

SQL

Excel & forecasting

Cross-functional collaboration

Communication

Education

Bachelor's degree in Finance, Accounting, Economics, Statistics

Tools

SQL (data warehouse)

Excel

Job description

Luxury Presence is building the AI growth platform for real estate, enabling data-driven decisions across Sales, Marketing and Revenue Operations. This role blends data analytics with finance/FP&A to forecast, model efficiency, and steer where to invest in GTM spend.

The ideal candidate moves between SQL queries and financial models, thrives on solving hard problems, and seeks impact on real growth strategies for a leading real estate tech company.