Head of Pricing & Supply Analytics (Hybrid/Remote)

engine; United States; Hybrid; USD 145,000 - 200,000; Full time

Benefits offered by this job

Equity for all employees

Annual bonus eligibility

Job summary

engine is seeking a Senior Analytics Leader to manage an analytics team supporting Pricing and Supply in a complex travel marketplace. You will lead eight analysts, partner with executives, and design operating models to improve pricing, supplier coverage, and marketplace performance.

You will turn ambiguous business questions into analytical plans, dashboards, experiments, and recommendations, while raising data standards and driving margin and conversion improvements. Hybrid work options apply.

Qualifications

• At least 7 years in data analytics, business analytics, data science, or related analytics.
• At least 3 years managing, mentoring, and developing analysts or analytics teams.
• Strong SQL skills and experience with large, complex datasets.
• Experience influencing decisions in a high-growth, marketplace environment.

Responsibilities

• Lead, coach, and develop approximately eight analysts on Pricing and Supply priorities.
• Partner with Pricing, Supply, Product, and Data leaders to set priorities and link work to outcomes.
• Create scalable processes for intake, prioritization, reporting, and quality standards.
• Translate ambiguous questions into analytical plans, dashboards, and recommendations.
• Demonstrate pricing performance, supplier availability, marketplace dynamics, and margins.
• Raise standards for data storytelling, root-cause analysis, and forecasting.
• Identify data foundation weaknesses and work to improve models and tooling.

Skills

SQL skills

People leadership

Analytics storytelling

Business judgment

Tools

dbt

Snowflake

Databricks

Airflow

Looker

Tableau

Power BI

Job description

engine is seeking a Senior Analytics Leader to manage an analytics team supporting Pricing and Supply in a complex travel marketplace. You will lead eight analysts, partner with executives, and design operating models to improve pricing, supplier coverage, and marketplace performance.

You will turn ambiguous business questions into analytical plans, dashboards, experiments, and recommendations, while raising data standards and driving margin and conversion improvements. Hybrid work options apply.