Data Analyst

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November 13

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MetaMask

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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

• Generate actionable insights that influence strategic product decisions using exploratory data analysis of complex and high-dimensional datasets, including product event logs, on-chain data and social data • Collaborate closely with product managers, designers and engineers to understand and anticipate their data needs and give them an information advantage over the competition • Develop trusted sources of truth, by modeling data in dbt, to measure the performance of new features and product initiatives and incorporate those learnings directly back into the product roadmap • Tell compelling data-driven stories with well designed data visualizations • Contribute to the build out of data platform and enhance our analytics capabilities with AI tools • Cultivate a data-driven culture across the company, setting data standards, optimizing processes and driving adoption for best practices • Manage the analytics lifecycle from inception to delivery and ongoing support

🎯 Requirements

• At least 5 years of full-time work experience as data analyst, product analyst, or data scientist • Highly proficient in data analysis languages such as SQL and Python and data modeling tools such as dbt • Highly proficient using at least one data visualization product (Looker, Superset/Preset, Tableau, Mixpanel, etc.) • Demonstrable interest in Web3 and blockchain technology • Experience working with on-chain data, including EVM, SVM and UTXO • Familiarity with event logging tools such as GTM and Segment • Excellent written and verbal communication skills are required, including experience meeting with and communicating information to senior leadership • Ability to think strategically, navigate ambiguity, formulate analytical hypotheses, and execute with a sense of urgency • A background in descriptive and inferential statistics is desirable