Analytics Manager – Product

Job not on LinkedIn

October 22

Apply Now

Receive Emails with Similar Jobs

MetaMask

WebsiteLinkedInAll Job Openings

Crypto • Web 3 • Fintech

MetaMask is a leading self-custodial crypto wallet that serves as a gateway to blockchain applications. Available as a browser extension and mobile app, it enables users to track and manage their web3 assets securely and conveniently. With features such as buying, selling, staking, and bridging crypto tokens, MetaMask empowers over 100 million users worldwide to control their digital assets and interact on the decentralized web with privacy and security.

51 - 200 employees

Founded 2016

₿ Crypto

🌐 Web 3

💳 Fintech

📋 Description

• Lead a team of data analysts supporting product managers, designers, and engineers with actionable insights that directly influence product strategy and roadmap prioritization • Develop and evolve best-in-class product analytics capabilities, continuously improving the quality and reliability of our product data • Foster a data driven culture, strengthening and deepening the partnership between Product and Data to accelerate business growth and secure MetaMask’s position as the leading self-custody wallet • Translate complex data into clear narratives that facilitate strategic alignment and influence senior leadership decisions • Champion hypothesis testing - collaborating closely with product teams to design, run, and interpret lo-fi experiments to better understand our users and their jobs-to-be-done • Advocate for data literacy and self-service tools, enabling colleagues to confidently explore product data and helping to scale up our data capabilities more efficiently • Mentor and grow a team of analysts, creating an environment in which they can thrive and ensuring their deliverables meet the highest standards

🎯 Requirements

• Experience leading analytics teams in product-led, high-growth tech companies • Deep expertise in event logging, including but not limited to experience with Mixpanel, Segment, Google Tag Manager and Google Analytics • Mastery of both SQL and Python; prior experience working in dbt • Demonstrable professional experience increasing analytics productivity with AI tooling • Collaborative, adaptable mindset - excited to work across distributed teams and shape the future of Web3.

🏖️ Benefits

• The salary range for US-based candidates only will be determined throughout the interview process depending on experience and skills.