Automattic-posted 7 months ago
$90,000 - $150,000/Yr
Full-time
Remote • San Francisco, CA
1,001-5,000 employees
Professional, Scientific, and Technical Services

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Automattic—the global leader in publishing, messaging, and commerce software—is building the operating system for the open web. Our goal is to democratize publishing, messaging, and commerce so that anyone with a story can tell it, and anyone with a product can sell it, regardless of income, gender, politics, language, or where they live in the world. With a strong commitment to open source, we have deep roots in WordPress, the platform that powers our business and 43% of the web. We own a diverse set of assets, deploy numerous business models, and offer scalability from B2C to SMB and Enterprise customers in a fast-paced, complex market. Our brands include WordPress.com, WooCommerce, WordPress VIP, Jetpack, Tumblr, Beeper, and a business incubator full of early-stage scale-ups. We're a distributed company with more than 1700 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Unlike many companies, we are and will always be 100% remote (we call it distributed). This means that you can work from anywhere in the world, in any time zone, leveraging collaboration tools and asynchronous communication. We are looking for a Analytics Engineer, Finance to build and maintain robust data systems at our globally distributed company. As a Analytics Engineer, you'll play a pivotal role in developing reliable data pipelines, analysis, and visualizations that drive financial reporting and business insights. You will collaborate closely with analytics engineers, software developers, finance teams, and other stakeholders to transform complex financial data into accessible, actionable information. You will build and maintain ETL processes for financial data, build and maintain internal reporting tools, design metrics to illuminate business performance, and create high-quality analyses and dashboards to communicate insights broadly. Working with large datasets, you'll help ensure data quality and integrity, build and maintain reporting processes and self-service tools, and serve as a fulcrum point to help the organization leverage its financial data for high-quality decision-making.

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