Key Responsibilities:
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Partner with cross-functional teams to define data needs and turn business questions into data problems.
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Build and maintain scalable data pipelines, dashboards, metrics, and reports.
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Extract insights from complex datasets and translate them into actionable business recommendations.
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Deliver impactful analyses and communicate results effectively to leaders.
Minimum Requirements:
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2–8+ years of experience in Business Intelligence, Data Analysis, Data Science, or Data Engineering.
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Strong proficiency in SQL and Python.
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Solid foundation in statistics and data visualization.
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Proven ability to manage multiple projects with accuracy and attention to detail.
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Collaborative mindset with a track record of solving problems through data.
Preferred Qualifications:
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Master’s degree in Mathematics, Statistics, Economics, Engineering, or related field.
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Experience at a growth-stage internet or software company.
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Familiarity with Hadoop, Spark, or other distributed data frameworks.
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Knowledge of engineering best practices (testing, code reviews, standards).
Work Options:
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In-office: Spend at least 50% of the month at a local office or with users.
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Remote: Defined as 35+ miles (56 km) from a Stripe office; primarily work from home with occasional travel for meetings/events.
Benefits:
Equity, company bonus or commissions, 401(k), medical/dental/vision coverage, and wellness stipends