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Business Analytics Lead
| Company | Block |
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| Location | Oakland, CA, USA |
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| Salary | $217800 – $326800 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 12+ years of experience in business analytics, strategy, or data science, with 5+ years of people management experience leading teams
- Demonstrated success building and scaling analytics organizations of 10+ people across multiple functions
- Deep knowledge of our business model—including understanding of product mechanics, business models, and key success drivers
- Strong technical foundation with broad understanding of modern analytics, data science, and AI/ML technologies
- A passion for leveraging AI in analytics—whether through automation, machine learning, or predictive modeling
- The ability to turn data into a story, communicating insights effectively to executives and cross-functional stakeholders
- A bias for action—proactively identifying and solving problems rather than waiting for requests
- Experience working in fast-paced, high-growth environments where adaptability and execution are critical
- A curious, innovative mindset, constantly seeking new ways to drive impact through data and AI
Responsibilities
- Lead Block’s analytics transformation, developing the roadmap for next-generation, AI-enabled capabilities and organizational change
- Analyze business performance across Square and Cash App, identifying trends, opportunities, and risks to inform key decisions
- Leverage AI and automation to improve analytical capabilities, scale insights, and enhance efficiency in data-driven decision-making
- Create clear, compelling data narratives, translating complex findings into actionable recommendations for senior leaders
- Develop and optimize dashboards, reports, and predictive models to enable real-time insights and strategic forecasting
- Collaborate cross-functionally with teams in Finance, Product, Business Operations, and Strategy to ensure analytics drive meaningful impact
- Support special projects that require a combination of business acumen, data analysis, and problem-solving skills
- Stay ahead of industry trends in AI, machine learning, and data analytics, identifying opportunities to implement cutting-edge solutions
Preferred Qualifications
No preferred qualifications provided.
