Tech Stack

Description

You will apply data-driven problem solving to help scale large consumer apps, identify growth opportunities, and translate insights into actionable plans. You'll dive into complex datasets using SQL, Python, and analytics tools to drive strategy, improve operational efficiency, and unlock new revenue streams, while collaborating cross-functionally with senior leadership and product teams.

Requirements

• 2-3 years in analytically driven role (high-growth tech, strategy ops, product management, investment banking, or top-tier consulting)
• Bachelor's degree in quantitative field (math, computer science, economics, engineering) or top-tier business school
• Strong analytical ability with experience in complex quantitative problems and large datasets
• Demonstrated ability to communicate technical insights to non-technical stakeholders
• Detail-oriented, organized, able to juggle multiple projects and deadlines

Responsibilities

• Identify growth opportunities and translate insights into execution plans driving measurable business impact
• Analyze large, complex datasets using SQL, Python, LLMs to uncover root causes and trends
• Transform raw data into actionable recommendations to drive strategy and growth
• Design dashboards, alerting systems, and frameworks to proactively identify issues and opportunities
• Collaborate with senior executives, product, engineering, and creative teams on high-impact initiatives