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Principal Analytics Engineer, Forecasting

Mailchimp

🌎 Remote — US (West Coast)Full-timeData Science$236K – $276K /yr
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Job description

Mailchimp is hiring a Principal Analytics Engineer, Forecasting to join our fully remote team in the United States. As a Principal Analytics Engineer, Forecasting, you'll turn data into insights and intelligent products. This is a full-time, work-from-home role open to candidates across the US (Remote — US (West Coast)). About the role You'll turn data into insights and intelligent products, partnering with a friendly, distributed team across US time zones. We care about outcomes over hours and give you the autonomy, tools, and support to do your best work from home. What you'll do: • Build and validate models and dashboards • Partner with stakeholders to define metrics • Communicate findings to technical and non-technical audiences • Maintain data pipelines and data quality • Analyze large datasets to surface actionable insights What we offer: • 100% remote, work-from-anywhere-in-the-US culture • 401(k) retirement plan with company match • Generous paid time off and company holidays • Flexible working hours across US time zones • Annual learning and professional development budget How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Mailchimp is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Requirements

Minimum qualifications: • 7+ years of experience, including leading teams or projects • Strong SQL and Python (or R) • Familiarity with cloud data warehouses • Experience with data visualization tools • Clear communication skills Nice to have: • Comfort communicating clearly and proactively in writing • A growth mindset and eagerness to keep learning
Principal Analytics Engineer, Forecasting at Mailchimp — Remote Job · RemoteHire24